CN101277371B - Image processing method, image processing apparatus, image forming apparatus, and recording device - Google Patents

Image processing method, image processing apparatus, image forming apparatus, and recording device Download PDF

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CN101277371B
CN101277371B CN 200810088810 CN200810088810A CN101277371B CN 101277371 B CN101277371 B CN 101277371B CN 200810088810 CN200810088810 CN 200810088810 CN 200810088810 A CN200810088810 A CN 200810088810A CN 101277371 B CN101277371 B CN 101277371B
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image
pixel
zone
attribute
row
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CN101277371A (en
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雨水大典
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Sharp Corp
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Sharp Corp
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Abstract

An available image area is recognized from information, including a read start position and a read end position of a document, a scaling for performing image processing, a processing object position, or the like. Subsequently, the number of chromatic pixels of one line is counted to output it to a memory, and when it is summed up to an end line of the available image area, a difference between a count number N 1 in one previous line of the available image area and a count number N 2 in the end line of the available image area is calculated to thereby compare the difference with a predetermined threshold value. When the difference is larger than the threshold, it is determined to be a chromatic image, whereas when the difference is smaller than the threshold, it is determined to be an achromatic image.

Description

Treatment of picture method, processing unit, formation device and reading device
Technical field
The present invention relates to a kind of attribute, carry out image processing method, image processing apparatus, image processing system, image read-out and the recording medium of image processing with behavior unit's differentiation pixel.
Background technology
In image processing systems such as digital copier or digit apparatus; For the image processing method with each original copy of being adapted to read in carries out image processing, carry out and judge that these original copys are that (below be recited as ACS handle) (for example opening flat 4-282968 communique with reference to the spy) handled in the automatic coloured selection of colored original or black and white original.
In the past; Differentiating by each pixel is colour element or include monochrome pixels; If there is colour element continuous more than the specified quantity in the pixel order detection by providing; Then this continuous colour element is identified as colored piece,, then this row is counted as color lines if there is the above colored piece of specified quantity in 1 row.In addition, if having the specified quantity color lines in the original copy, then be judged as coloured image, otherwise be judged as monochrome image.
This ACS handles in its result of situation that whole zone is carried out will be different from the situation that the subregion of the original copy that reads in is carried out, and handle so expectation is only carried out ACS to the effective image-region of the image-region that is equivalent to export.
Figure 29 and Figure 30 are the key diagrams that explanation depends on effective image-region, example that result of determination is different.Figure 29 is the example when carrying out the ACS processing for the original copy with monochrome pixels and colour element with original copy integral body.The whole pixel quantity of original copy if having the colour element of the above ratio of determinating reference, then is judged to be colored original relatively.Original copy shown in Figure 30 is the original copy identical with original copy shown in Figure 29, the example when still only the ACS processing is carried out in the left-half zone.Whole as original copy, have colour element, but owing to there is not the above ratio of determinating reference in colour element in the effective image-region, so be judged to be black and white original.
In addition, as the image recognition processing of only effective image-region of same output being carried out, there are original copy determination processing, background color identification to handle.There is following method; Promptly the original copy that reads in from scanner is being carried out under the situation of original copy determination processing; Carry out prescan, to the capable view data of effective image-region, obtain mean value from the pixel quantity difference of the high concentration part of rising edge to trailing edge, with low concentration pixel quantity partly from trailing edge to rising edge; Obtain these characteristic quantities of mean value sum of the pixel quantity difference of adjacent low concentration part; Judge whether be character pixels thus, if there is character pixels in the whole pixel quantities in the opposed area with certain ratio more than the threshold value; Then be identified as the character original copy, otherwise be identified as (for example opening the 2002-125121 communique) such as photo original copys with reference to the spy.
But, in the patent documentation 1 in the ACS determination processing, patent documentation 2 of record the original copy discriminating processing of record all be that hypothesis is placed on original copy on the document board, carry out the processing that ACS judges or the original copy kind is judged after reading the whole view data of original copy.For example; If consideration is carried out situation about handling after reading original copy by the original copy auto-feeder with behavior unit; Then the effective image-region of original copy just is determined when detecting the rear end of original copy; If exist and once not read in original copy integral body and carry out effective image-region and confirm, then can't begin the problem that ACS handles or the original copy kind is differentiated.
Figure 31 is the key diagram of the processing of explanation when reading original copy by the original copy auto-feeder with behavior unit.Possessed under the situation that the line scanner of automatic document feeder reads at original copy, for the sub scanning direction of relative scanning, will be made as effective image-region, needed the position and the specific pixel width y of rear end apart from the zone C DEF of rear end specific pixel width y.Y is according to calculating such as output image size or multiplying powers, so can confirm in the past reading in original copy.But zone C DEF is not sure of in the rear end that the original copy end detecting sensor by line scanner detects original copy before.That is, there is following problem: before confirming in the rear end at least, need the data in advance that read in be stored in the memory etc., confirm that the back reads view data once more from memory, only effective image-region carried out ACS and handle.
Summary of the invention
The present invention In view of the foregoing makes; It is a kind of through constituting the difference of the characteristic quantity that calculating calculated respectively according to the row before the regions and rear end row that its purpose is to provide; And according to the attribute of the difference critical region of calculating; Carry out corresponding processing with the differentiation result; Thereby can not will prescan or view data be accumulated in the memory, image processing method, image processing apparatus, image processing system, image read-out and the record that begins to discern processing is used to realize the recording medium of the computer program of said image processing method.
Image processing method of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that, according to each row that is made up of a plurality of pixels, the image that will differentiate object successively is read in the memory; Calculate and be used to represent to constitute the characteristic quantity that reads in capable pixel characteristic; According to the characteristic quantity of calculating, differentiate the attribute of pixel, count having carried out attribute differentiation pixel afterwards; The zone that should implement to handle to said image setting; Calculate the difference of the pixel quantity of having carried out attribute differentiation pixel afterwards, this pixel quantity is calculated respectively according to setting zone row and rear end row before; According to the difference of calculating, differentiate the attribute in said zone; Image in the said zone is implemented the corresponding processing with the differentiation result.
According to the present invention, even if indeterminate at view data when beginning input image in the size of sub scanning direction, also can prescan or also can not will image data storage in memory, begin identification and handle.In addition; Confirm back (when the view data input is accomplished) in picture size; When execution is equivalent to differentiation result's the statistics again in the zone of preset image, compare, can alleviate the relevant treating capacity of statistical disposition again with the situation of each row only being preserved the statistics of this row.
Image processing method of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that, according to each row that is made up of a plurality of pixels, the image that will differentiate object successively is read in the memory; Calculate the characteristic quantity that is used to represent to constitute the characteristic of reading in capable pixel; According to the attribute of the characteristic quantity differentiation pixel of calculating,, count having carried out attribute differentiation pixel afterwards according to each row that is partitioned at main scanning direction; The zone that should implement to handle to said image setting; Calculate the difference of the pixel quantity of having carried out attribute differentiation pixel afterwards according to each row in the zone that is included in setting, this pixel quantity is calculated respectively according to setting zone row and rear end row before; According to the summation of the difference of each row of calculating, differentiate the attribute in said zone; And to enforcement of the image in the said zone and the corresponding processing of differentiation result.
According to the present invention; Owing to also being cut apart, main scanning direction obtains the differentiation result; So temporarily with image data storage after in the middle of the hard disk etc.; When carrying out processing once more behind the use image stored data change effective image-region, (for example carry out when disappearing the frame processing), can carry out identification processing the effective image-region of new settings.
Image processing method of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that, according to each row that is made up of a plurality of pixels, the image that will differentiate object successively is read in the memory; Calculate the characteristic quantity that is used to represent to constitute the characteristic of reading in capable pixel; According to the characteristic quantity of calculating, differentiate the attribute of pixel, according to a plurality of effective image-regions of being scheduled at main scanning direction each, count having carried out attribute differentiation pixel afterwards; The zone that should implement to handle to said image setting; Calculate the difference of the pixel quantity that has carried out attribute differentiation pixel afterwards for the area relative count results of setting, this pixel quantity is calculated respectively according to row and rear end row before the regions; According to the summation of the difference of calculating, differentiate the attribute in said zone; And to enforcement of the image in the said zone and the corresponding processing of differentiation result.
According to the present invention, in the quantity of effective image-region after a little while, can cut down and preserve the required memory span of count results than essential number of columns.
Image processing apparatus of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing: according to each row that is made up of a plurality of pixels, read in the device of the image of differentiating object successively; Calculate the characteristic quantity that is used to represent to constitute the characteristic of reading in capable pixel, differentiate the device of the attribute of pixel according to the characteristic quantity of calculating; The said attribute of having carried out is differentiated the device that pixel is afterwards counted; The device in the zone that should implement to handle to said image setting; Calculate the device of the difference of the pixel quantity of having carried out attribute differentiation pixel afterwards, this pixel quantity is calculated respectively according to row and rear end row before the regions; According to the difference of calculating, differentiate the device of the characteristic in said zone; And to the device of the enforcement of the image in the said zone corresponding to the differentiation result's of this device processing.
According to the present invention, though indeterminate at view data when beginning input image in the sub scanning direction size, also can prescan or will image data storage in memory, not begin identification and handle.In addition, when picture size confirms that the statistics again that is equivalent to the differentiation result in preset image zone is carried out in back (when the view data input is accomplished), compare, can alleviate the relevant treating capacity of statistical disposition again with the situation of each row only being preserved the statistics of this row.
Image processing apparatus of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing: according to each row that is made up of a plurality of pixels, read in the device of the image of differentiating object successively; Calculate and be used to represent to constitute the characteristic quantity that reads in capable pixel characteristic,, differentiate the device of the attribute of pixel according to the characteristic quantity of calculating; According to each row of cutting apart at main scanning direction, to having carried out the device that pixel that said attribute differentiates is counted; The device in the zone that should implement to handle to said image setting; According to the device that each row in the zone that is included in setting are calculated the difference of the pixel quantity of having carried out attribute differentiation pixel afterwards, this pixel quantity is calculated respectively according to setting zone row and rear end row before; According to the summation of the difference of each row of calculating, differentiate the device of the characteristic of said regions; And to the device of the enforcement of the image in the said regions with the corresponding processing of differentiation result of this device.
According to the present invention; Owing to also being cut apart, main scanning direction obtains the differentiation result; So temporarily with image data storage after in the middle of the hard disk etc.; When carrying out processing once more behind the use image stored data change effective image-region, (for example carry out when disappearing the frame processing), can carry out identification processing the effective image-region of new settings.
Image processing apparatus of the present invention is characterised in that: possess the device of differentiating respectively to the characteristic in a plurality of zones; Store device respectively to the differentiation result of said a plurality of area judging; With the device of the image in each zone being implemented and differentiated the corresponding processing of result.
According to the present invention, obtain differentiation result to effective image-region, only preserve and differentiate the result, thereby compare with the situation of preserving the pixel quantity of differentiating with behavior unit, can reduce data volume.
Image processing apparatus of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing: according to each row that is made up of a plurality of pixels, read in the device of the image of differentiating object successively; Calculate the characteristic quantity that is used to represent to constitute the characteristic of reading in capable pixel,, differentiate the device of the attribute of pixel according to the characteristic quantity of calculating; According in each of the predetermined a plurality of effective image-regions of main scanning direction, to having carried out the device that pixel that said attribute differentiates is counted; The device in the zone that should implement to handle to said image setting; Pin calculates the device of the difference of the pixel quantity of having carried out attribute differentiation pixel afterwards in the area relative count results of setting, and this pixel quantity is calculated respectively according to row and rear end row before the regions; According to the summation of the difference of calculating, differentiate the device of the characteristic of said regions; And to the device of the enforcement of the image in the said zone with the corresponding processing of differentiation result of this device.
According to the present invention, in the quantity of effective image-region after a little while, can cut down and preserve the required memory span of count results than the quantity of essential row.
Image processing apparatus of the present invention is characterised in that: possess the device of differentiating respectively to the characteristic of a plurality of effective image-regions; Store the differentiation result's that said a plurality of effective image-regions are differentiated device respectively; In the differentiation result who has stored, judge which uses differentiate result's device; To the device of the enforcement of the image in the said zone with the corresponding processing of judging of differentiation result.
According to the present invention, obtain differentiation result in advance to effective image-region, only preserve and differentiate the result, thereby compare with the situation of preserving the pixel quantity of differentiating with behavior unit, can reduce data volume.
Image processing apparatus of the present invention is characterised in that: the attribute of said pixel be pixel coloured silk is arranged, do not have color.
According to the present invention, the characteristic quantity according to the row before the regions and rear end row are calculated respectively through obtaining the difference of this characteristic quantity, comes whether the image to differentiating object is that coloured image is differentiated.
Image processing apparatus of the present invention is characterised in that: possessing differentiating is that the difference of color pixel quantity and the device that the size between the setting compares are arranged; Said differentiation be have the difference of color pixel quantity than the big situation of said setting under; Differentiate is that said image is coloured image; Said difference than the little situation of said setting under, differentiating for said image is the image of netrual colour.
According to the present invention, confirm before from effective image-region, the beginning discriminating processing, and after effective image-region is confirmed, add up again, improve the efficiency that color no color determination processing is arranged of image thus.
Image processing apparatus of the present invention is characterised in that: the attribute of said pixel is regional separating resulting, and which its remarked pixel belongs in a plurality of zones that comprise character zone, dot area.
According to the present invention,,, be character/halftone dot image to the image of differentiating object, or background color/printing paper image is differentiated through obtaining the difference of this characteristic quantity according to the characteristic quantity that each row of row before the regions and rear end is calculated.
Image processing apparatus of the present invention is characterised in that: possess difference of each the regional pixel quantity under the said pixel and the device that compares by the size between the setting of each zone setting; The difference of extracting said each regional pixel quantity is carried out the differentiation of original copy kind than the big zone of setting that is provided with by said each zone.
According to the present invention, before confirming from effective image-region, the beginning discriminating processing, and after effective image-region is confirmed, add up again, improve the efficiency of original copy kind determination processing thus.
Image processing apparatus of the present invention is characterised in that: the attribute of said pixel, and for whether pixel is the result of determination of undercolor region.
According to the present invention, the characteristic quantity according to the row before the regions and rear end row are calculated respectively the image background color color of differentiating object is differentiated through the difference that obtains this characteristic quantity.
Image processing apparatus of the present invention is characterised in that: possess the difference of the count value of the fragmentation value under the said pixel and the device that the size between the setting compares, according to comparative result, differentiate background color.
According to the present invention, before confirming from effective image-region, the beginning discriminating processing, and after effective image-region is confirmed, add up again, improve the efficiency of background color determination processing thus.
Image processing apparatus of the present invention is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing: according to each row that is made up of a plurality of pixels, read in the device of the image of differentiating object successively; Calculate a plurality of characteristic quantities that are used to represent to constitute the characteristic of reading in capable pixel,, differentiate the device of a plurality of attributes of pixel according to a plurality of characteristic quantities of calculating; Differentiate the device that pixel is afterwards counted to having carried out attribute respectively; The device in the zone that should implement to handle to said image setting; The device of difference of the pixel quantity of the pixel of each attribute after differentiating has been carried out in calculating, and this pixel quantity is calculated respectively according to row and rear end row before the regions; According to the difference of calculating, differentiate the device of a plurality of characteristics in said zone; And to the device of the enforcement of the image in the said zone with the corresponding processing of differentiation result of this device.
According to the present invention, under with the discriminating processing of said automatic coloured selection processing, original copy kind, situation that the background color determination processing makes up, also can improve the efficiency of determination processing.
Image processing system of the present invention is characterised in that to possess: the described image processing apparatus of one of foregoing invention; And will have been implemented the image after the image processing by image processing apparatus by this and be formed at the device on the thin slice.
According to the present invention, can be used as a function of print apparatus, digit apparatus.
Image read-out of the present invention is characterised in that: possess from the device of original copy reading images; The attributes of images that reads out with differentiation, and carry out with the said invention of differentiating the corresponding processing of result in each described image processing apparatus.
According to the present invention, can be used as a function of scanner device, digit apparatus.
Recording medium of the present invention is to be used to write down the computer program of differentiating attributes of images, carrying out and differentiate the corresponding processing of result; Computer-readable recording medium; It is characterized in that the computer program that record has following steps: make computer calculate the step of characteristic quantity of the characteristic of the pixel that is used to represent to constitute this row according to the row that constitutes by a plurality of pixels; Make computer according to the characteristic quantity of calculating, differentiate the attribute of pixel, differentiate the step that pixel is afterwards counted having carried out attribute; Make the step in the zone that computer should implement to handle to said image setting; Make COMPUTER CALCULATION carry out the step of difference of the pixel quantity of the pixel of attribute after differentiating, this pixel quantity is calculated respectively according to row and rear end row before the regions; And make computer according to the difference of calculating, and differentiate the attribute in said zone, the image in the said zone is implemented the corresponding processed steps with the differentiation result.
According to the present invention, according to the image processing program of from recording medium, reading, by the said image processing apparatus of computer realization.
Under situation of the present invention, even if view data when beginning input, image is unclear in the sub scanning direction size, needn't prescan or also will image data storage in memory, not begin identification again and handle.In addition, when picture size confirms that the statistics again that is equivalent to the differentiation result in preset image zone is carried out in back (when the view data input is accomplished), compare, can alleviate the treating capacity that relates to statistical disposition again with the situation of each row only being preserved the statistics of this row.
Under situation of the present invention; Owing to also being cut apart, main scanning direction obtains the differentiation result; So temporarily with image data storage after in the middle of the hard disk etc.; When carrying out processing once more behind the use image stored data change effective image-region, (for example carry out when disappearing the frame processing), can carry out identification processing the effective image-region of new settings.
Under situation of the present invention, in the quantity of effective image-region after a little while, can cut down and preserve the required memory span of count results than essential number of columns.
Under situation of the present invention, obtain differentiation result to effective image-region, only preserve and differentiate the result, thereby compare with the situation of preserving the pixel quantity of differentiating with behavior unit, can reduce data volume.
Under situation of the present invention,, come through the difference that obtains this characteristic quantity whether the image to differentiating object is that coloured image is differentiated according to row and each characteristic quantity of calculating of rear end row before the regions.
Under situation of the present invention, before confirming from effective image-region, the beginning discriminating processing, and after effective image-region is confirmed, add up again, improve the efficiency of original copy kind determination processing thus.
Under situation of the present invention, according to the characteristic quantity that each row of row before the regions and rear end row is calculated, coming the image to differentiating object through the difference that obtains this characteristic quantity is character/halftone dot image, or background color/printing paper image is differentiated.
Under situation of the present invention, the characteristic quantity according to the row before the regions and rear end row are calculated respectively comes differentiating the image background color color of object through obtaining this characteristic quantity difference.
Under situation of the present invention, can be used as a function of print apparatus, digit apparatus.
Under situation of the present invention, can be used as a function of scanner device, digit apparatus.
Under situation of the present invention, can be according to the image processing program of reading from recording medium, by the said image processing apparatus of computer realization.
Description of drawings
Fig. 1 is that the inside that the image processing system that possesses image processing apparatus of the present invention is described constitutes block diagram.
Fig. 2 is the formation ideograph of presentation video input unit.
Fig. 3 is the ideograph of representing from the signal of giving Time Pick-off Units output.
Fig. 4 is the block diagram that the inside of expression ACS determination process section constitutes.
Fig. 5 is the key diagram of explanation effective image-region.
Fig. 6 is the flow chart of the performed treatment step of explanation ACS determination process section.
Fig. 7 is the flow chart of the performed treatment step of explanation ACS determination process section.
Fig. 8 is the block diagram of the variation of expression ACS determination process section.
Fig. 9 is the ideograph of the setting example of expression effective image-region.
Figure 10 is the ideograph of the setting example of expression effective image-region.
Figure 11 is the ideograph of cutting apart example of expression row.
Figure 12 is the ideograph of the setting example of expression effective image-region.
Figure 13 is the ideograph of the setting example of expression effective image-region.
Figure 14 is the ideograph of the setting example of expression effective image-region.
Figure 15 is the ideograph of expression to the storage example of memory stores colour element count value.
Figure 16 is the flow chart that the treatment step when reading original copy is described.
Figure 17 is the flow chart that the treatment step when printing again is described.
Figure 18 is the ideograph of expression to the storage example of memory stores colour element count value.
Figure 19 is that the inside that the image processing system of the image processing apparatus that possesses this execution mode is described constitutes block diagram.
Figure 20 is the block diagram that the inside of expression original copy kind detection unit constitutes.
Figure 21 is representation feature amount calculating part and differentiates the block diagram of the details of Department of Statistics as a result.
Figure 22 is the flow chart of the treatment step of explanation original copy kind detection unit execution.
Figure 23 is the block diagram of the variation of expression original copy kind detection unit.
Figure 24 is the block diagram that the inside of the input gray level correction portion in the expression image processing apparatus shown in Figure 4 constitutes.
Figure 25 is the flow chart of the performed treatment step of explanation input gray level correction portion.
Figure 26 is the block diagram of the variation of expression input gray level correction portion.
Figure 27 is the block diagram that the inside of the image read-out of this execution mode of expression constitutes.
Figure 28 be this execution mode of explanation installation the block diagram that constitutes of the inside of image processing apparatus of computer program.
Figure 29 is that the explanation result of determination depends on effective image-region and the key diagram of different example.
Figure 30 is that the explanation result of determination depends on effective image-region and the key diagram of different example.
Figure 31 is the key diagram of the processing of explanation when reading original copy by the original copy auto-feeder with behavior unit.
Embodiment
Below, specify execution mode with reference to accompanying drawing.
Execution mode 1.
Fig. 1 is that the inside that the image processing system that possesses image processing apparatus of the present invention is described constitutes block diagram.The image processing system of execution mode 1 possesses guidance panel 1, image-input device 3, image processing apparatus 5A, image output device 7.
Guidance panel 1 is made up of liquid crystal indicator, various switches etc., receives to report to the demonstration of user's information, various selection operations of user etc.
Image-input device 3 is the fetch units that read original image optically, possesses such imageing sensor of light source, CCD (Charge Coupled Device) to the original copy irradiates light that reads usefulness etc.
Fig. 2 is the formation ideograph of presentation video input unit 3.Scanner portion that image-input device 3 possesses the original copy delivery section that is made up of upper body 510, be made up of lower case 560 etc.In upper body 510, be provided for detecting carry place the original copy of the original copy on the original copy pallet 511 that transducer 514 is set, be used for many ground carry the input roller 512 of original copys, carry in order to read the image on the original copy conveying roller 513a, 513b, the discharge original copy of original copy original copy distributing roller 50, detect the original copy discharge transducer 567 of the original copy of discharging etc.Conveying roller (registration roller) 513b possesses electromagnetic clutch (not shown) on driving shaft, may command stops under the state with no original copy from the transmission of the actuating force of drive motors (not shown).In addition, set for: when the preceding end in contact of original copy is given Time Pick-off Units 515, during from the signal of this sensor passes regulation, carry on the direction of original copy in side downstream and to rotate.Conveying roller 513b rotates, and with under the state that stops, the front end of the original copy of carrying from upstream side abuts to the clamping part of conveying roller 513b, or after forming the amount of deflection of regulation in the original copy, side is carried original copy downstream.At this moment, position, the front end of original copy and throughput direction are met at right angles with the clamping part of conveying roller 513b.
In lower case 560, be provided with along carry put the parallel scanning element that moves back and forth 562,563 below the platform 561, imaging len 564, and as the CCD line sensor 565 of the components of photo-electric conversion, discharge pallet 566 etc.Scanning element 562 possesses and is used for to the original copy that transports from original copy pallet 511 or carries to place carrying the light source 562a that puts the original copy irradiates light on the platform 561 (for example Halogen lamp LED etc.), being used for the photoconduction of original copy reflection to the speculum 562b of the light path of regulation etc.In addition, scanning element 563 possesses and is used for the photoconduction of original copy reflection to the speculum 563a of the light path of regulation, 563b etc.
Imaging len 564 makes from the reverberation of scanning element 563 guiding and images in the assigned position on the CCD line sensor 565.The light image of 565 pairs of imagings of CCD line sensor carries out light-to-current inversion, the output signal of telecommunication.That is, resolve into the data (rgb signal) of R (red), G (green), each colouring component of B (indigo plant) according to the coloured image, the look that read from original copy (the for example surface of original copy) to image processing apparatus 5A output.At this moment, image-input device 3 will output to image processing apparatus 5A along the data that sub scanning direction reads line by line.In addition, as shown in Figure 3, will be from the signal of giving Time Pick-off Units 515 output, be the read start signal of original copy and read end signal and notify to image processing apparatus 5A.
Image processing apparatus 5A carries out appropriate image processing after will being transformed to digital electric signal from the analog electrical signal of image-input device 3 outputs, the view data that obtains is outputed to image output device 7.The inside formation of image processing apparatus 5A, action etc. are described in detail later.
Image output device 7 is according to the picture signal of image processing apparatus 5A output, on thin slices such as paper, OHP films, carries out the device that image forms.Therefore, image output device 7 possesses: make the charged charged device to the regulation current potential of photosensitive drums; Corresponding to the view data of accepting from the outside, send laser, on photosensitive drums, generate the laser writing station of electrostatic latent image; To being formed at the developer that carries out video pictureization after electrostatic latent image on the photosensitive drums provides toner; The toner that is formed on the photosensitive drum surface is looked like to be transferred to (not shown) such as transfer printing devices with on the paper, on paper, form user's desired images with the electrofax mode.In addition, except that carrying out according to the electrofax mode of using the laser writing station the image formation, also can carry out image and form according to ink-jetting style, thermal transfer mode, distillation mode etc.
Below, explain that the inside of image processing apparatus 5A constitutes.AD transformation component 51 will be transformed to digital signal from the RGB analog signal of image-input device 3 inputs.The processing by the various distortions of the illuminator of image-input device 3, imaging system, camera system generation is removed in 52 pairs of rgb signals enforcements from the digital form of AD transformation component 51 outputs of shading correction portion.Rgb signal after stain (shading) correction is outputed to ACS determination process section 53.
ACS determination process section 53 is used the part of the pixel that constitutes original image, and carrying out and selecting original image is the coloured image or the processing of black and white image.The contents processing of ACS determination process section 53 is described in detail later.The result of determination of ACS determination process section 53 is outputed to the input gray level correction portion 55 of back one-level, regional separating treatment portion 56, look correction portion 57, black undercolour removal portion 58, space filtering handling part 59, the half tone reproduction handling part 62 of generating.
Image quality adjustment such as the removal of input gray level correction portion 55 execution background color concentration or contrast are handled.Zone separating treatment portion 56 is according to rgb signal, and execution becomes one processing in character zone, dot area, the photo zone with each pixel separation in the input picture.Zone separating treatment portion 56 is according to separating resulting; The regional identification signal which zone remarked pixel is belonged to outputs to black generation undercolour removal portion 58, space filtering handling part 59 and the half tone reproduction handling part 62 of next stage; Simultaneously, the rgb signal of input is directly outputed to the look correction portion 57 of next stage.
Look correction portion 57 carries out according to the dichroism that comprises the CMY look material of useless absorption component for the faithful reappearance color reproduction, removes the processing of color stain.Rgb signal after look is proofreaied and correct is outputed to the black generation undercolour removal portion 58 of next stage.The black undercolour removal portion 58 that generates carries out the black generation that generates black (K) signal according to the CMY3 chrominance signal after the look correction, generates the new CMY Signal Processing that from original CMY signal, deducts the K signal that is obtained by black generation.Through this processing, the CMY3 chrominance signal is transformed to the CMYK4 chrominance signal.
As the black example of handling that generates, the method for execution based on the black generation of skeleton black (skeleton black) arranged.In the method; If the input-output characteristic of skeleton curve is made as y=f (x); The data of input are made as C, M, Y; The data of output are made as C ', M ', Y ', K ', UCR are led (UCR:Under Color Removal) and be made as α (0＜α＜1), then black generation undercolour removal is handled and is expressed from the next.
K’＝f{min(C，M，Y)}
C’＝C-αK’
M’＝M-αK’
Y’＝Y-αK’
59 pairs of space filtering handling parts are from the black view data that generates the CMYK signal of undercolour removal portion 58 inputs; According to regional identification signal; Execution is handled based on the space filtering of digital filtering, the correction space frequency characteristic, thus the fuzzy or graininess that prevents output image worsens.
For example, the zone that separates into character by regional separating treatment portion 56 is especially in order to improve the reproducibility of surplus symbol or color character, utilizes the space filtering of space filtering handling part 59 acutance in handling to stress to handle, and makes high-frequency emphasical quantitative change big.Simultaneously, binary system or multi-system under the high-resolution screen (screen) that the suitable high-frequency of selection is reproduced in the half tone reproduction handling part 62 are handled.In addition, with regard to the zone that is separated into dot area by regional separating treatment portion 56, space filtering handling part 59 implements to be used to remove the low-pass filtering treatment of input site component.Afterwards; Output gray level correction portion 60 carry out signal transformations such as concentration signals be output gray level treatment for correcting as the dot area percentage of the characteristic value of coloured image output device after, implement to be processed into by the half tone reproduction handling part 62 separation of images half tone reproduction processing that becomes pixel and can reproduce gray scale separately the most at last.In addition, with regard to the zone that separates into photo by regional separating treatment portion 56, carry out screen binary system or the multi-system processing down of paying attention to half tone reproduction property.In addition, became times handling part 61 before the execution area reproduction processes, carry out in case of necessity to become doubly and handle.
To implement above-mentioned each image data processed and temporarily be stored in the memory unit (not shown), output to image output device 7 after reading in the moment of regulation.
Below, the formation of ACS determination process section 53 is described.Fig. 4 is the block diagram that the inside of expression ACS determination process section 53 constitutes.ACS determination process section 53 possesses CPU531, memory 532, colour element detection unit 533, colour element count section 534, colored original detection unit 535.
CPU531 is according to reading the starting position or reading the information of end position, the identification original size from the original copy of image-input device 3 notice.In addition, obtain and resolve from inputs such as guidance panel 1, original copy is carried out information such as magnification ratio that image processing uses or process object position, and be identified as effective image-region information.
Fig. 5 is the key diagram of explanation effective image-region.Effective image-region corresponding to the change multiplying power of setting, is set the image-region that constitutes object for example specifying under the situation that becomes doubly processing, carries out thus.Perhaps, even if multiplying power is being set for etc. under the situation doubly, when output to size than original size little use paper the time, the output image zone of being scheduled to is set at effective image-region.For example, output under the situation of A4 size with paper, the zone (zone of default setting) of the original copy right half part of A3 size is set at effective image-region at original copy with the A3 size.
Colour element detection unit 533 judges whether pixel units (or piece, the piece that for example is made up of 8 * 8 pixels) are colour element (or pieces).The result is outputed to colour element count section 534 as the colour element sign.For example relatively value and the threshold value THcolor_p (for example about the 5%-10% of the gray value of view data (being under the 8 bit image data conditions, being 256)) of max (R, G, B)-min (R, G, B) carry out in the judgement of colour element or monochrome (black and white) pixel.When max (R, G, B)-min (R, G, B) is threshold value THcolor_p when above, being judged to be is colored (coloured silk is arranged), when than above-mentioned threshold value hour, is judged to be monochrome.
Colour element count section 534 then adds count value (increase) 1 if represent it is colored from the colour element sign of colour element detection unit 533 inputs, if expression is not colored, then count value remains unchanged.When carrying out the counting of 1 row, all to memory 532 outputs colour element count value before this.At this moment, the initialization of counter is read the starting position at original copy and is carried out, and carries out not according to each row unit.The count value of colour element is always the summation of reading in the starting position apart from original copy.
In the memory 532, the colour element count value is stored in the memory successively with behavior unit.The count value of the row that will require from colored original detection unit 535 in addition, outputs to colored original detection unit 535.
Colored original detection unit 535 is accepted effective image-region information from CPU531; According to this information, require the colour element count value N1 of effective image-region previous row and the colour element count value N2 (with reference to Fig. 5) in the row of effective image-region rear end to memory 532.Calculating is obtained the colour element count value in the effective image-region from the difference of two count value of memory 532 inputs, compares with threshold value, judges that thus original copy is colored original or black and white original, the output result of determination.As threshold value THcolor_d, for example the input original copy is used the pixel quantity of size about 1 centimeter square.The value of threshold value THcolor_d is different because of the resolution of image-input device, so set corresponding to resolution.In addition, if more than the threshold value THcolor_d, then being judged to be is colored original, if littler than threshold value THcolor_d, then being judged to be is black and white original.
Fig. 6 and Fig. 7 are the flow charts of the performed treatment step of explanation ACS determination process section 53.CPU531 at first carries out the colour element sign, be stored in the initialization (step S11) of count value in the memory etc.Afterwards; According to reading starting position and the information that reads end position from the original copy of image-input device 3 notice; The identification original size; Obtain and resolve from information such as magnification ratio inputs such as guidance panel 1, that the original copy carries out image processing is used or process object positions, be identified as effective image-region information (step S12).
Then, colour element detection unit 533 is that unit judges whether be colour element (step S13) with the pixel that constitutes a row.Being judged to be is that colour element count section 534 adds 1 (step S14) with counter under the situation of colour element (S13: be).In addition, be judged to be (S13: not), keep the value of counter constant under the situation that is not colour element.
Then, CPU531 judges whether the colour element determination processing in 1 row finishes (step S15), is being judged as (S15: not), processing is turned back to step S13 under the unclosed situation.
Under the situation that the colour element determination processing that is judged as 1 row finishes (S15: be), colour element count section 534 outputs to memory 532 (step S16) with the colour element quantity of 1 row.Then, CPU531 judges whether it is the rear end row (step S17) of effective image-region, is being judged as (S17: not), carry out the processing (step S18) of next line, processing is turned back to step S13 under the situation that is not the rear end row.
Be judged as under the situation of rear end row that current row is an effective image-region (S17: be); Colored original detection unit 535 is calculated colour element count value N1 and the difference (step S19) of the colour element count value N2 in the row of effective image-region rear end in the effective image-region previous row, judges whether difference (N2-N1) is threshold value THcolor_d above (step S20).Being judged as difference (N2-N1) is under the situation more than the threshold value THcolor_d (S20: be); Being judged to be original image is coloured image (step S21); (S20: not), being judged to be original image is monochromatic (black and white) image (step S22) under difference (N2-N1) situation littler than threshold value THcolor_d being judged as.
In this execution mode, constitute by colored original detection unit 535 and carry out according to judging that with the count value of behavior unit colored original still is the processing of black and white original, carries out but also can constitute by CPU531.Fig. 8 is the block diagram of the variation of expression ACS determination process section 53.
Like this, in this execution mode, because the data of storage are the colour element stored count numerical value with behavior unit in the memory 532, so can the memory-size littler realize than storing image data.In addition; Because judge with the scanning executed in parallel colour element of original copy, the colour element counting, to memory stores; So as essential processing after the scanning completion, be merely and from memory, take out two values, take a decision as to whether colored original; Even if, carry out ACS with also can having basically no the loss of time at a high speed and handle so exist under the situation of effective image-region on certain position in original copy.
Execution mode 2.
Also can constitute to along main scanning direction by predetermined each row (row) addition result of determination successively.In this formation, even if since again the setting when handling changed under the situation of effective image-region, also can carry out corresponding to the attribute of setting and differentiate.
Device constitutes the same with execution mode 1, and original copy is read along sub scanning direction by image-input device 3 line by line, is input to the colour element detection unit 533 of ACS determination process section 53.In addition, in image-input device 3, be equipped with and give Time Pick-off Units 515, reading the starting position and reading end position and notify original copy to CPU531.
CPU531 is according to reading the starting position or reading the information of end position, the identification original size from the original copy of image-input device 3 notice.In addition, obtain and resolve from guidance panel 1 or the input of not shown main frame, original copy carried out information such as magnification ratio that image processing uses or process object position, and notify to colored original detection unit 535 as effective image-region information.
With regard to effective image-region,,, set the image-region that constitutes object corresponding to the change multiplying power of setting for example specifying under the situation that becomes doubly processing.Perhaps, even if multiplying power is being set for etc. under the situation doubly, when output to size than original size little use paper the time, the output image zone of being scheduled to is set at effective image-region.Fig. 9 and Figure 10 are the ideographs of the setting example of expression effective image-region.For example, output under the situation of A4 size with paper, the zone (zone of default setting) of the original copy right half part of A3 size is set at effective image-region (Fig. 9) at original copy with the A3 size.Perhaps, will be appointed as frame by functions such as the frames that disappears and be set at effective image-region (Figure 10) with the zone of exterior domain.That is, among Figure 10 effective image-region is shown frame in addition.
Colour element detection unit 533 judges whether the pixel unit of the view data of input is colour element.The result of determination of colour element detection unit 533 is outputed to colour element count section 534 as the colour element sign.For example relatively value and the threshold value THcolor_p (for example about the 5%-10% of the gray value of view data (being under the 8 bit image data conditions, being 256)) of max (R, G, B)-min (R, G, B) carry out in the judgement of colour element or monochrome (black and white) pixel.When max (R, G, B)-min (R, G, B) is threshold value THcolor_p when above, being judged to be is colored (coloured silk is arranged), and when than above-mentioned threshold value hour, being judged to be is monochromatic (not having color).
Each row (row) of 534 pairs of predetermined picture data of colour element count section are counted colour element respectively.Figure 11 is the ideograph of cutting apart example of expression row.In the example of Figure 11, illustrate input picture is divided into 5 states that are listed as 10A-10E along main scanning direction, these 5 row 10A-10E are counted colour element respectively.That is, if represent it is colored from the colour element sign of colour element detection unit 533 inputs, then count value is added 1, if expression is not colored, then count value remains unchanged.When carrying out the counting of 1 row, all to memory 532 outputs colour element count value till now.At this moment, the initialization of counter is read the starting position at original copy and is carried out, and each row unit is not carried out.The count value of colour element is always the summation of reading in begin column apart from original copy.
Pattern that the method that is divided into row is selected during according to scanning or selectable pattern (the frame pattern for example disappears) decision when handling again.Figure 12-Figure 14 is the ideograph of the setting example of expression effective image-region.For example, in the frame pattern etc. that disappears, the pattern of displayed map 12-Figure 14 in display unit such as LCD under the situation that can select effective image-region 11-13, becomes 5 with column split.The pattern of the row that perhaps, also can be scheduled to cut apart (for example cutting apart) by the piece (piece that for example constitutes) of each regulation by 7 * 7 pixels.How to cut apart also and can use various image samplings in advance, confirm and to carry out the pattern of suitably handling when handling again.
In memory 532, store the colour element count value of every row successively with behavior unit.The ideograph of Figure 15 is represented the storage example to memory 532 storage color pixel counts numerical value.The count value of the row that memory 532 will require from colour element detection unit 533 outputs to colored original detection unit 535.
Colored original detection unit 535 is accepted effective image-region information from CPU531; According to this information, require colour element count value N1 and the colour element count value N2 in the row of effective image-region rear end of the effective image-region previous row of respective column to memory 532.Calculating is obtained the colour element count value in the effective image-region from the difference of two count value of memory 532 inputs, compares with threshold value, judges that thus original copy is colored original or black and white original, the output result of determination.As threshold value THcolor_d, for example the input original copy is used the pixel quantity of size about 1 centimeter square.The value of threshold value THcolor_d is different because of the resolution of image-input device 3, so set corresponding to resolution.For example, be under the situation of 1200dpi in resolution, be set at the value about THcolor_d=2400000.In addition, if more than the threshold value THcolor_d, then being judged to be is colored original, if littler than threshold value THcolor_d, then being judged to be is black and white original.
The statistics of effective image-region 11-13 is added up by following formula when the count value by every row storage line unit shown in figure 15.
Colour element count value=N in the effective image-region 11 (A, n)+N (B, n)+N (C, n)+N (D, n)+N (E, n)
Colour element count value=N in the effective image-region 12 (B, b)-N (B, a-1)+N (B, d)-N (B, c-1)+N (C, b)-N (C, a-1)+N (C, d)-N (C, c-1)+N (D, b)-N (D, a-1)+N (D, d)-N (D, c-1)
Colour element count value=N in the effective image-region 13 (B, b)-N (B, a-1)+N (B, d)-N (B, c-1)+N (D, b)-N (D, a-1)+N (D, d)-N (D, c-1)
In above-mentioned formula, a-d, n represent Figure 13 and row shown in Figure 14, and A-E representes row shown in Figure 15, and N representes the count value of pixel in each row of the row before certain row.
In above-mentioned example, to original copy overall statistic colour element quantity, but under the situation of effective image-region 12 or effective image-region 13, also can be to each statistical counting numerical value of the effective image-region further cut apart.For example, it is as follows to cut apart two effective image-region 12A, the 12B of effective image-region 12.
Colour element count value=N among the effective image-region 12A (B, b)-N (B, a-1)+N (C, b)-N (C, a-1)+N (D, b)-N (D, a-1).
Colour element count value=N among the effective image-region 12B (B, d)-N (B, c-1)+N (C, d)-N (C, c-1)+N (D, d)-N (D, c-1)
Below, the processed content that the result of determination of using every row is carried out is described.Figure 16 is the flow chart that the treatment step when reading original copy is described.Under the situation of view data of the scanning of beginning original copy, input process object, ACS determination process section 53 is used said methods, each row is used obtain result of determination (step S101) with behavior unit.Setting when reading according to original copy afterwards, judges whether to require print processing (step S102).
Be judged as (S102: be) under the situation that requires print processing,, obtaining result of determination (step S103) effective image-region by each effective image-region statistics colour element count value of setting.Afterwards, carry out the image processing of differentiating based on attribute (step S104), carry out print processing (step S105).
In addition, in step S102, (S102: not), the setting when reading according to original copy judges whether to require filing to handle (step S106) under the situation that is judged as the failed call print processing.
Require under the situation that filing handles (S106: be) being judged as, view data and result of determination are stored among the not shown HDD etc. (step S07, S108).In addition, in step S106, be judged as failed call and file (S106: deny) under the situation about handling, the processing of process ends figure.
Figure 17 is the flow chart that the treatment step when printing again is described.At first, the result of determination (step S111) to effective image-region is obtained in the setting when printing again, carries out the image processing (step S112) based on property determine.Then, according to the image after the image processing, carry out print processing (step S113).
In this execution mode, constitute by colored original detection unit 535 and carry out according to judging that with the count value of behavior unit colored original still is the processing of black and white original, carries out but also can constitute by CPU531.The formation of the ACS determination process section 53 of this moment is with shown in Figure 8 the same.
Execution mode 3.
As generation method and statistical method with the count value of behavior unit, the method for explanation below also can using.
Each of each effective image-region of 534 pairs of predetermined picture data of colour element count section if represent it is colored from the colour element sign of colour element detection unit 533 inputs, then adds 1 with count value, if expression is not colored, then count value remains unchanged.When carrying out the counting of 1 row, all to memory 532 outputs colour element count value before this.At this moment, the initialization of counter is read the starting position at original copy and is carried out, and carries out not according to each row unit.The colour element count value is always the summation of reading in begin column apart from original copy.
Pattern that effective image-region was selected according to when scanning or selectable pattern decision when handling again.Suppose to select under the situation of the pattern before the effective image-region 11-13 of Figure 12-shown in Figure 14, shown in figure 18, the parallel count value with behavior unit that generates 3 effective image-regions is stored in the memory 532.
In memory 532, with behavior unit's storage color pixel counts numerical value successively.The count value of the row that will be required by colour element detection unit 533 in addition, outputs to colored original detection unit 535.
Colored original detection unit 535 is accepted effective image-region information from CPU531, according to this information, requires the colour element count value of the corresponding previous row of effective image-region and the colour element count value in the row of effective image-region rear end to memory 532.Calculating is obtained the colour element count value in the effective image-region from the difference of two count value of memory 532 inputs, compares with threshold value, judges that thus original copy is colored original or black and white original, the output result of determination.As threshold value THcolor_d, for example the input original copy is used the pixel quantity of size about 1 centimeter square.The value of threshold value THcolor_d is different because of the resolution of image-input device, so set corresponding to resolution.In addition, if more than the threshold value THcolor_d, then being judged to be is colored original, if littler than threshold value THcolor_d, then being judged to be is black and white original.
The statistics of effective image-region 11-13 is added up by following formula when storage shown in figure 18 during with the count value of behavior unit.
Colour element count value=N in the effective image-region 11 (Reg1, n)
Colour element count value=N in the effective image-region 12 (Reg2, b)-N (Reg2, a-1)
Colour element count value=N in the effective image-region 13 (Reg3, b)-N (Reg3, a-1)
In this execution mode, constitute by colored original detection unit 535 and carry out according to judging that with the count value of behavior unit colored original still is the processing of black and white original, carries out but also can constitute by CPU531.The formation of the ACS determination process section 53 of this moment is with shown in Figure 8 the same.
In addition, above-mentioned showing carry out to judge it is the colored original or the example of black and white original, but also applicable to after original copy kind determination processing, the background color determination processing stated, be applicable to processing after perhaps also can making above-mentioned processing appropriate combination.
Execution mode 4.
Figure 19 is that the inside that the image processing system of the image processing apparatus that possesses this execution mode is described constitutes block diagram.The image processing system of execution mode 4 possesses guidance panel 1, image-input device 3, image processing apparatus 5B, image output device 7.Formation except that image processing apparatus 5B and execution mode 1 are just the same, omit the explanation to it.
Image processing apparatus 5B possesses original copy kind detection unit 54, replaces the ACS determination process section 53 of the image processing apparatus 5A of explanation in the execution mode 1.Figure 20 is the block diagram that the inside of expression original copy kind detection unit 54 constitutes.Original copy kind detection unit 54 possesses CPU541, memory 542, feature value calculation unit 543, differentiates Department of Statistics 544, original copy detection unit 545 as a result.
The view data of 543 pairs of inputs of feature value calculation unit is that the characteristic quantity that is used to judge original copy attributes such as complexity or counter-rotating number of times is calculated by unit (or be unit with the piece) with the pixel; Utilize threshold process etc. to carry out the differentiation of pixel, will differentiate the result and output to and differentiate Department of Statistics 544 as a result.The differentiation result that feature value calculation unit 543 generates can be 1, also can be a plurality of.For example; Output is then to be the character candidate pixel more than the threshold value as if the complexity to 7 * 7 masking-outs (mask); Otherwise not such differentiation results such as character candidate pixel; Simultaneously, also exportable if be that threshold value is the background color candidate pixel with next otherwise is not such differentiation result such as background color candidate pixel to the counter-rotating number of times of 7 * 7 masking-outs.
Differentiating as a result, Department of Statistics 544 adds 1 by each the differentiation result from feature value calculation unit 543 inputs with count value.At this moment, can be with the value itself of differentiating the result as the count value addition, also can data compression be differentiated value (for example quantized value or logarithmic transformation value) behind the result as the count value addition.When pressing the counting of every execution 1 row, all to memory section output differentiation result count numerical value before this.At this moment, the initialization of counter is carried out in the original copy starting position, carries out not according to each row unit.Be always the summation of reading in the starting position apart from original copy.
Memory 542 will be differentiated result count numerical value and be stored in the memory successively with behavior unit.The count value of the row that will be required by original copy detection unit 545 in addition, outputs to original copy detection unit 545.Original copy detection unit 545 is accepted effective image-region information from CPU541, according to this information, requires the differentiation result count numerical value of effective image-region previous row and the differentiation result count numerical value in the row of effective image-region rear end to memory 542.Calculating is obtained the differentiation result count numerical value in the effective image-region from the difference of two count value of memory 542 inputs, compares with threshold value, judges that thus which kind of original copy original copy is, the output result of determination.
In the judgement of original copy kind, can use the spy to open the decision method of putting down in writing in the 2002-232708 communique.Figure 21 is representation feature amount calculating part 543 and differentiates the block diagram of the details of Department of Statistics 544 as a result.
Feature value calculation unit 543 possesses Cmin value calculating part 5431, Cmax value calculating part 5432, Cmax difference calculating part 5433, summation concentration complexity calculating part 5434, determinating area configuration part 5435, Cmax difference limen value configuration part 5435a, summation concentration complexity threshold configuration part 5435b, character/site detection unit 5436, character/decision threshold configuration part, site 5436a, background color/printing paper detection unit 5437, background color/printing paper decision threshold configuration part 5437a.
Cmin value calculating part 5431 is according to the CMY signal by not shown signal transformation portion conversion; Calculate the concentration minimum value in the piece of the n * m (for example 5 * 15 pixels) that comprises concerned pixel; Cmax difference calculating part 5432 is calculated the concentration maximum in the piece of the n * m (for example 5 * 15 pixels) that comprises concerned pixel according to the CMY signal of input.Cmin value and Cmax value that Cmax difference calculating part 5433 uses Cmin value calculating parts 5431 and Cmax value calculating part 5432 to be calculated, it is poor to calculate Cmax.
5434 couples of said n * m of summation concentration complexity calculating part (for example 5 * 15 pixels) piece is obtained the summation of concentration difference absolute value of the neighbor of main scanning direction, sub scanning direction respectively, calculates the summation sum of main scanning direction, sub scanning direction.Determinating area configuration part 5435; Cmax according to Cmax difference calculating part 5433 is calculated is poor; The summation concentration complexity of being calculated to the threshold value of Cmax difference, by summation concentration complexity calculating part 5434 that is set by Cmax difference limen value configuration part 5435a and by the threshold value to summation concentration complexity that summation concentration complexity threshold configuration part 5435b sets separates into background color/printing paper (photo) zone, character/dot area.
Character/site detection unit 5436 judges that the pixel in the zone that in determinating area configuration part 5435, is separated into character/dot area is character or site.In judgement, use by character/decision threshold configuration part, site 5436a preset threshold.The result is outputed to differentiation Department of Statistics 544 as a result.Differentiating character pixels Department of Statistics 5441 statistical decisions of Department of Statistics 544 as a result is the pixel of character, and 5442 statistical decisions of site pixels statistics portion are the pixel of site.
Background color/printing paper detection unit 5437 judges that the pixel in the zone that in determinating area configuration part 5435, is separated into background color/printing paper zone is background color or printing paper (printing paper photo).In judgement, use threshold value by background color/printing paper decision threshold configuration part 5437a sets.The result is outputed to differentiation Department of Statistics 544 as a result.5322 statistical decisions of background color pixels statistics portion are the pixel of background color, and 5323 statistical decisions of printing paper pixels statistics portion are the pixel of printing paper.
Figure 22 is the flow chart of the performed treatment step of explanation original copy kind detection unit 54.The initialization (step S31) of count value that CPU541 at first stores in the execute store etc.Afterwards; Read the starting position and read the information of end position according to original copy from image-input device 3 notice; The identification original size; Obtain and resolve from information such as magnification ratio inputs such as guidance panel 1, that the original copy carries out image processing is used or process object positions, be identified as effective image-region information (step S32).
Then, feature value calculation unit 543 is that characteristic quantity (step S33) is calculated by unit by the pixel that constitutes 1 row, differentiates the attribute (step S34) of pixel.Afterwards, the result is corresponding with differentiating, and the value of counter is added 1 (step S35), judges whether 1 capable processing finishes (step S36).(S36: not), processing is turned back to step S33 under the unclosed situation of processing that is judged as 1 row.
Under the situation that the processing that is judged as 1 row finishes (S36: be), 1 capable differentiation result is outputed to memory 542 (step S37).Then, CPU541 judges whether it is the rear end row (step S38) of effective image-region, is being judged as (S38: not), carry out the processing (step S39) of next line, processing is turned back to step S33 under the situation that is not the rear end row.
Be judged as under the situation of rear end row that current row is an effective image-region (S38: be); Calculate the differentiation result in the rear end row of differentiation result and effective image-region of preceding 1 row of effective image-region difference (be judged to be character pixel quantity, be judged to be the site pixel quantity, be judged to be background color pixel quantity, be judged to be the difference of the pixel quantity of printing paper) (step S40); According to the difference of calculating, carry out the differentiation (step S41) of original copy kind.For example; Above-mentioned each regional pixel quantity is obtained the ratio of whole pixel quantities of relative effective image-region; With the threshold that character zone, dot area, printing paper photo zone, undercolor region are confirmed, judge the original copy kind of effective image-region.For example, when the pixel quantity that is judged to be character, the ratio that is judged to be the pixel quantity of site are separately threshold value when above, being judged to be is character photograph print original copy.
Above-mentioned threshold value can be set as follows.For example; If the order by character, site, printing paper photo is made as height with accuracy of detection; Be under the situation of more than 30% of whole pixel quantities (threshold value 30%) of effective image-region then in the pixel rate that is judged to be character; Being judged to be is the character original copy, is that being judged to be is site original copy (photograph print original copy) under the situation of more than 20% of whole pixel quantities (threshold value 20%) of effective image-region in the pixel rate that is judged to be the site; Be that being judged to be is printing paper photo original copy under the situation of more than 10% of whole pixel quantities (threshold value 10%) of effective image-region in the pixel rate that is judged to be the printing paper photo.
In this execution mode, constitute the judgement of carrying out the original copy kind by original copy detection unit 545, carry out but also can constitute by CPU541.Figure 23 is the block diagram of the variation of expression original copy kind detection unit 54.
Execution mode 5.
In this execution mode, the suitable example to the background color determination processing is described.Figure 24 is the block diagram that the inside of the input gray level correction portion 55 among the expression image processing apparatus 5A shown in Figure 4 constitutes.Input gray level correction portion 55 possesses CPU551, memory 552, histogram handling part 553, fragmentation value Department of Statistics 554, background color detection unit 555.
CPU551 reads the starting position according to the original copy from image-input device 3 notices and reads the information of end position, identification original size.In addition, obtain and resolve, be identified as effective image-region information from information such as magnification ratio inputs such as guidance panel 1, that the original copy carries out image processing is used or process object positions
The view data of 553 pairs of inputs of histogram handling part is that unit (or piece is a unit) carries out the threshold determination processing to concentration value with the pixel, thereby judgement is contained in histogrammic which fragmentation value, and fragmentation value is outputed to fragmentation value Department of Statistics 554.At this moment, confirming to be judged as in advance is the fragmentation value of background color, only this fragmentation value is outputed to fragmentation value Department of Statistics 554.Promptly extract the pixel of background color candidate.
554 pairs of fragmentation values from histogram handling part 553 pixels input, the background color candidate of fragmentation value Department of Statistics are counted processing, and the count value of the fragmentation value that will be equivalent to import adds 1.By the counting of every execution 1 row, all export before this to count value at different levels to memory 552.At this moment, the initialization of counter is carried out in the original copy starting position, carries out not according to each row unit.Be always the summation of reading in the starting position apart from original copy.
In the memory 552, will the count value of each segmentation of histogram be stored in the memory 552 successively with behavior unit.The count value of the row that will require from background color detection unit 555 in addition, outputs to background color detection unit 555.
Background color detection unit 555 is accepted effective image-region information from CPU551; According to this information, to memory 552 require in the previous row of effective image-region to the count value of each fragmentation value of histogram and the count value in the row of effective image-region rear end to each fragmentation value of histogram.Each fragmentation value is calculated from the difference of two batch total numerical value of memory 552 inputs, obtain the count value in the effective image-region, compare, judge the background color of original copy thus, the output result of determination by each colouring component and threshold value to each fragmentation value of histogram.Being judged as is that the fragmentation value of background color, the threshold value of execution count value comparison can be used various image samplings, suitably extracts background color and confirms.
Being that the fragmentation value of background color is counted to being judged as only in above-mentioned, but also can counting whole fragmentation values, is the difference that the fragmentation value of background color is obtained count value to being judged as only, carries out the judgement of background color.
Figure 25 is the flow chart of the performed treatment step of explanation input gray level correction portion 55.CPU551 at first carries out the initialization (step S51) of count value of being stored in the memory etc.Afterwards; According to reading starting position and the information that reads end position from the original copy of image-input device 3 notice; The identification original size; Obtain and resolve from information such as magnification ratio inputs such as guidance panel 1, that the original copy carries out image processing is used or process object positions, be identified as effective image-region information (step S52).
Then, histogram handling part 553 is that unit carries out processing with the pixel that constitutes 1 row, by each colouring component pixel is categorized as fragmentation value (step S53), and the count value that will be equivalent to fragmentation value adds 1 (step S54).
CPU551 judges whether the processing of 1 row finishes (step S55), (S55: not), processing is turned back to step S53 under the unclosed situation of processing that is judged as 1 row.
Under the situation that the processing that is judged as 1 row finishes (S55: be), the count value of the fragmentation value of 1 row is outputed to memory 552 (step S56) by each colouring component.Then, CPU541 judges whether it is the rear end row (step S57) of effective image-region, is being judged as (S57: not), carry out the processing (step S58) of next line, processing is turned back to step S53 under the situation that is not the rear end row.
Being judged as under the situation of rear end row that current row is an effective image-region (S57: be), calculate the fragmentation value count value of the previous row of effective image-region and the difference (step S59) of the fragmentation value count value in the row of effective image-region rear end by each colouring component.Afterwards, be that the value of fragmentation value (situation of RGB) maximum in the colouring component more than the threshold value is judged to be background color (step S60) with count value.Afterwards, according to the differentiation result of background color, carry out undercolour removal and handle.
As the background color method of discrimination, the following method of putting down in writing in the for example also available TOHKEMY 2000-354167 communique.That is, at first, from input image data, extract M signal, for example the concentration of 256 tonal gradations is carried out 16 and cut apart, make histogram as the signal behind the complementary color counter-rotating G signal.Concentration district (fragmentation value) below the maximum (the 1st threshold value) of the concentration value that is judged as background color is carried out counting, obtain the difference of count value, extracting difference is the above concentration district of threshold value, as background color.Afterwards, select correcting value form, carry out undercolour removal and handle corresponding to the concentration district value of extracting.(255-Y, Y is that Yj=0.30Rj+0.59Gi+0.11Bj (Rj, Gj, Bj: the colouring component of each pixel)) carries out and without the G signal here also can to use luminance signal.
In this execution mode, constitute the judgement of carrying out background color by background color detection unit 555, carry out but also can constitute by CPU551.Figure 26 is the block diagram of the variation of expression input gray level correction portion 55.
The example of the automatic coloured selection processing of independent execution, original copy kind discriminating processing, background color determination processing more than has been described, has been carried out but also can make these handle appropriate combination.For example, but the also discriminating processing of the automatic coloured selection processing of executed in parallel and original copy kind is exported after making the differentiation result combinations of differentiation result and original copy kind of colour, monochromatic original copy.And, also can after carrying out automatic coloured selection processing, original copy kind discriminating processing, carry out the background color determination processing.At this moment; Discriminating processing according to the original copy kind; For example under the situation that comprises the character original copy (character original copy, character photograph print original copy, character printing paper photo original copy etc.); Carry out the background color determination processing, (photograph print original copy, printing paper photo original copy etc.) are not carried out the background color determination processing under the situation that does not comprise the character original copy.Under the situation that comprises the character original copy, there is background color usually, this is not comprise background color basically because do not comprise in the photo original copy etc. of character.
In addition, the processing sequence of automatic coloured selection processing, original copy kind discriminating processing, background color determination processing also can replace, also can be by CPU operating part or all processing.
Execution mode 6.
In this execution mode, the suitable example to image read-out has been described.Figure 27 is the block diagram that the inside of the image read-out of this execution mode of expression constitutes.The image read-out 9 of this execution mode possesses image reading unit 91 and image processing part 92.Image reading unit 91 is in order to read original image optically, and possesses scanning element, imaging len, CCD line sensor, gives Time Pick-off Units etc.
Image processing part 92 possesses AD transformation component 921, shading correction portion 922, original copy kind detection unit 923, input gray level correction portion 924.AD transformation component 921 will be transformed to digital signal by the analog signal that image reading unit 91 reads.Shading correction portion 922 carries out shading correction, is used for removing the various distortions that illuminator, imaging system, camera system produced by image reading unit 91.
Original copy kind detection unit 923 will be removed rgb signal (reflectivity signals of RGB) after the various distortions by shading correction portion 922 be transformed to the tractable signal of image processing system that concentration signal etc. is adopted in color image processing apparatus; Simultaneously; Carry out the differentiation of original copy kind, the original image of judging input is character original copy, photograph print original copy, printing paper photo, still makes the character/photograph print original copy etc. of their combinations.
Input gray level correction portion 924 is when realizing color balance, and the enforcement background color detects and image quality adjustment such as removal of background color concentration or contrast are handled.
Having implemented rgb signal and the original copy kind judgment signal after the image processing by image processing part 92 has been performed and the original copy kind corresponding processing that is input to computer or printer.
In addition, above-mentioned example possesses the example of original copy kind detection unit 923, replaces original copy kind detection unit but also can possess the ACS determination process section of explaining in the execution mode 1.Perhaps, also can the ACS determination processing be assembled in the original copy kind detection unit 923, carry out background color by input gray level correction portion 924 again and judge also array output of its result.And image read-out also possesses the formation of regional separating treatment portion.
Execution mode 7.
In execution mode 1 and 2, constitute by hardware and realize each processing, but the processing that also can constitute by software realizes the present invention.
Figure 28 be this execution mode of explanation installation the block diagram that constitutes of the inside of image processing apparatus of computer program.100 is image processing apparatus of this execution mode among the figure, particularly is personal computer, work station etc.Image processing apparatus 100 possesses CPU101, in CPU101, is connected with hardware such as ROM103, RAM104, hard disk 105, exterior storage portion 106, input part 107, display part 108, COM1 109 through head office 102.CPU101 controls each one of said hardware according to the control program that is stored in advance among the ROM103.
RAM104 is the volatile memory of the various data that generate in the execution of program code (execute form program, intermediate code program, source program) of temporary transient said control program of storage or computer program of the present invention.Hard disk 105 is the memory units with magnetic recording media, the program code of the computer program that storage is read from recording medium of the present invention etc.Exterior storage portion 106 possesses the reading device that is used for from recording medium M program code read of the present invention.As recording medium M, can use FD (Flexible Disk), CD-ROM etc.To be stored in the hard disk 105 by the program code that exterior storage portion 106 reads.CPU101 is loaded into RAM104 through the program code of the present invention that will be stored in the hard disk 105, carries out then, can make the whole device as the image processing that realizes explaining among the execution mode 1-5 of device.
Input part 107 has as the function that obtains the interface of view data from the outside.On input part 107, be connected with for example chromoscan instrument apparatus etc.Display part 108 has the function as the interface of the view data that shows process object, the view data in the image processing, the view data after the image processing etc.Also can constitute exterior display devices such as in display part 108, being connected with LCD device, display image data also can constitute display part 108 and self possess display unit, display image data.COM1 109 is to be used for printer 150 and the outside interface that is connected.Under the situation of the view data after being handled by printer 150 print images, image processing apparatus 100 generates by printer 150 decodable print datas according to said view data, and the print data that generates is sent to printer 150.
In this execution mode, constitute CPU101 and carry out various computings, but also can constitute the special chip of carrying out the computing that relates to image processing is set separately, carry out computing according to indication from CPU101.
In addition; As recording medium M; Except that said FD and CD-ROM, semiconductor memories such as card type record mediums such as magnetic recording medias such as CD, hard disk, IC-card, storage card, light-card such as MO also capable of using, MD, DVD, mask ROM, EPROM (Erasable Programmable Read OnlyMemory), EEPROM (Electrically Erasable Programmable Read OnlyMemory), flash ROM.In addition, owing to be that the system that can connect the communication network that comprises the internet constitutes, so also can download computer program code of the present invention from communication network.
In addition, aforementioned calculation machine program can be the mode that provides as independent application program, general program also, or the mode that is assembled in other application program, the general program, provides as the partial function of this program.For example, as the one of which mode, consider to be assembled in the mode that provides in the printer driver.In addition, the present invention also can be realized the said procedure code by the mode electric transmission imbody, that be superimposed upon the computer data signal in the carrier wave.

Claims (17)

1. an image processing method is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that, comprises the steps:
According to each row that is made up of a plurality of pixels, the image that will differentiate object successively is read in the memory;
Calculate and constitute the characteristic quantity that reads in capable pixel;
According to the attribute of the characteristic quantity differentiation pixel of calculating, count having carried out attribute differentiation pixel afterwards;
The zone that should implement to handle to said image setting;
Calculate and count the quantity of gained and count the difference of the quantity of gained having carried out pixel after attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of attribute after differentiating in the previous row that sets the zone;
According to the difference of calculating, differentiate the attribute in said zone; And
Image in the said zone is implemented the corresponding processing with the differentiation result.
2. an image processing method is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that, comprises the steps:
According to each row that is made up of a plurality of pixels, the image that will differentiate object successively is read in the memory;
Calculate and constitute the characteristic quantity that reads in capable pixel;
According to the attribute of the characteristic quantity differentiation pixel of calculating,, count having carried out attribute differentiation pixel afterwards according to each row that is partitioned at main scanning direction;
The zone that should implement to handle to said image setting;
According to being included in each row that sets in the zone, calculating and count the quantity of gained and count the difference of the quantity of gained having carried out pixel after attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of attribute after differentiating in the previous row that sets the zone;
According to the summation of the difference of each row of calculating, differentiate the attribute in said zone; And
Image in the said zone is implemented the corresponding processing with the differentiation result.
3. an image processing method is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that, comprises the steps:
According to each row that is made up of a plurality of pixels, the image that will differentiate object successively is read in the memory;
Calculate and constitute the characteristic quantity that reads in capable pixel;
According to the attribute of the characteristic quantity differentiation pixel of calculating,, count having carried out attribute differentiation pixel afterwards according to a plurality of effective image-regions of being scheduled to along main scanning direction each;
The zone that should implement to handle to said image setting;
For setting the area relative count results, calculate and count the quantity of gained and count the difference of the quantity of gained having carried out pixel after attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of attribute after differentiating in the previous row that sets the zone;
According to the summation of the difference of calculating, differentiate the attribute in said zone; And
Image in the said zone is implemented the corresponding processing with the differentiation result.
4. an image processing apparatus is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing:
According to each row that constitutes by a plurality of pixels, read in the device of the image of differentiating object successively;
Calculate formation and read in the characteristic quantity of capable pixel,, differentiate the device of the attribute of pixel according to the characteristic quantity of calculating;
Differentiate the device that pixel is afterwards counted to having carried out attribute;
The device in the zone that should implement to handle to said image setting;
Calculate and count the quantity of gained and count the device of difference of the quantity of gained having carried out pixel after attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of attribute after differentiating in the previous row that sets the zone;
According to the difference of calculating, differentiate the device of the characteristic in said zone; And
To the device of the enforcement of the image in the said zone with the corresponding processing of differentiation result of this device.
5. an image processing apparatus is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing:
According to each row that constitutes by a plurality of pixels, read in the device of the image of differentiating object successively;
Calculate formation and read in the characteristic quantity of capable pixel, differentiate the device of the attribute of pixel according to the characteristic quantity of calculating;
According to each row that is partitioned at main scanning direction, differentiate the device that pixel is afterwards counted to having carried out attribute;
The device in the zone that should implement to handle to said image setting;
According to being included in each row that sets in the zone, calculating and count the quantity of gained and count the device of difference of the quantity of gained having carried out pixel after attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of attribute after differentiating in the previous row that sets the zone;
According to the summation of the difference of each row of calculating, differentiate the device of the characteristic of said regions; And
To the device of the enforcement of the image in the said regions with the corresponding processing of differentiation result of this device.
6. image processing apparatus according to claim 5 is characterized in that:
Differentiate each characteristic that is directed against a plurality of zones, will be stored in respectively the differentiation result that said a plurality of area judging go out in the memory in advance, the image in each zone is implemented the corresponding processing with the differentiation result.
7. an image processing apparatus is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing:
According to each row that constitutes by a plurality of pixels, read in the device of the image of differentiating object successively;
Calculate formation and read in the characteristic quantity of capable pixel, differentiate the device of the attribute of pixel according to the characteristic quantity of calculating;
According to a plurality of effective image-regions of being scheduled at main scanning direction each, differentiate the device that pixel is afterwards counted to having carried out attribute;
The device in the zone that should implement to handle to said image setting;
For setting the area relative count results, calculate and count the quantity of gained and count the device of difference of the quantity of gained having carried out pixel after attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of attribute after differentiating in the previous row that sets the zone;
According to the summation of the difference of calculating, differentiate the device of the characteristic of said regions; And
To the device of the enforcement of the image in the said zone with the corresponding processing of differentiation result of this device.
8. image processing apparatus according to claim 7 is characterized in that:
Also possess: each characteristic to a plurality of effective image-regions is differentiated; Differentiation result after will differentiating said a plurality of effective image-regions is stored in the memory respectively in advance; In the differentiation result who has stored, judge which uses differentiate result's device
Image in the said zone is implemented and the corresponding processing of judging of differentiation result.
9. according to each described image processing apparatus in the claim 4～8, it is characterized in that:
The attribute of said pixel be pixel coloured silk is arranged, do not have color.
10. image processing apparatus according to claim 9 is characterized in that:
Possessing differentiating is that the difference of color pixel quantity and the device that the size between the setting compares are arranged,
Differentiate for difference that color pixel quantity is arranged than the big situation of said setting under, differentiating said image is coloured image, said difference than the little situation of said setting under, differentiate the image that said image is a netrual colour.
11., it is characterized in that according to each described image processing apparatus in the claim 4～8:
The attribute of said pixel is regional separating resulting, and its remarked pixel is which belongs in a plurality of zones that comprise character zone, dot area.
12. image processing apparatus according to claim 11 is characterized in that:
Possess to each zone under the said pixel pixel is counted the difference and the device that compares by the size between setting of each zone setting of the quantity of gained,
The difference of quantity that pixel is counted gained of extracting said each zone is carried out the differentiation of original copy kind than the big zone of setting that is provided with by said each zone.
13., it is characterized in that according to each described image processing apparatus in the claim 4～8:
The attribute of said pixel is for whether pixel is the result of determination of undercolor region.
14. image processing apparatus according to claim 13 is characterized in that:
Possess the difference of the count value of the fragmentation value under the said pixel and the device that the size between the setting compares,
According to comparative result, differentiate background color.
15. an image processing apparatus is differentiated attributes of images, and carries out and the corresponding processing of differentiation result, it is characterized in that possessing:
According to each row that constitutes by a plurality of pixels, read in the device of the image of differentiating object successively;
Calculate a plurality of characteristic quantities that are used to represent to constitute the characteristic of reading in capable pixel,, differentiate the device of a plurality of attributes of pixel according to a plurality of characteristic quantities of calculating;
Differentiate the device that pixel is afterwards counted to having carried out attribute respectively;
The device in the zone that should implement to handle to said image setting;
Calculate and count the quantity of gained and count the device of difference of the quantity of gained having carried out pixel after each attribute is differentiated in the rear end row that sets the zone to having carried out the pixel of each attribute after differentiating in the previous row that sets the zone;
According to the difference of calculating, differentiate the device of a plurality of characteristics in said zone; And
To the device of the enforcement of the image in the said zone with the corresponding processing of differentiation result of this device.
16. an image processing system comprises:
The described image processing apparatus of in claim 4～8 and the claim 15 each; And
To implement the image after the image processing by this image processing apparatus and be formed at the device on the thin slice.
17. an image read-out comprises:
Device from the original copy reading images; And
Differentiate the attributes of images that reads out, and each described image processing apparatus in the claim 4～8 of execution and the corresponding processing of differentiation result and the claim 15.
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