WO2005002205A1 - 画像処理装置、画像補正プログラム - Google Patents
画像処理装置、画像補正プログラム Download PDFInfo
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- WO2005002205A1 WO2005002205A1 PCT/JP2004/008809 JP2004008809W WO2005002205A1 WO 2005002205 A1 WO2005002205 A1 WO 2005002205A1 JP 2004008809 W JP2004008809 W JP 2004008809W WO 2005002205 A1 WO2005002205 A1 WO 2005002205A1
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- histogram
- gradation
- saturation
- brightness
- value
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- 238000012545 processing Methods 0.000 title claims description 37
- 230000006835 compression Effects 0.000 claims abstract description 36
- 238000007906 compression Methods 0.000 claims abstract description 36
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 9
- 238000003702 image correction Methods 0.000 description 20
- 238000000034 method Methods 0.000 description 18
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000009826 distribution Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 102200044883 rs121913228 Human genes 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 239000003205 fragrance Substances 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration using histogram techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Definitions
- Image processing device image correction program
- the present invention relates to image correction processing for improving the appearance of a color image.
- a device such as a scanner or a digital camera
- light from a document or a subject is converted into a voltage signal corresponding to the amount of light by an imaging element such as a CCD, and the intensity of the voltage signal is converted into digital data.
- an imaging element such as a CCD
- the intensity of the voltage signal is converted into digital data.
- an image having a low contrast in brightness and saturation may be a plain image with little merino and sight.
- various image correction methods have been conventionally proposed.
- a frequency distribution or cumulative frequency distribution is created for lightness gradations, and lightness gradations are corrected based on the distributions (Patent Documents 1 and 2), and image data is converted to hue, saturation, and lightness.
- image data is converted to hue, saturation, and lightness.
- Patent Document 1 JP-A-2000-306088
- Patent Document 2 JP-A-5-80193
- Patent Document 3 JP-A-8-32827
- An image processing apparatus comprises: an input unit that inputs color image data; Conversion means for converting image data into hue, saturation and lightness, and histogram creation means for calculating the ratio of the number of pixels for each gradation to the total number of pixels for the saturation and lightness and creating a saturation histogram and a lightness histogram And correcting the saturation and the lightness based on the saturation histogram and the lightness histogram, respectively, thereby improving the contrast between the saturation and the lightness.
- the saturation and the brightness are respectively corrected by changing the gradation width of the saturation histogram and the brightness histogram based on the ratio of the number of pixels at the gradation. ,.
- a threshold value is set for each ratio of the number of pixels in each gradation of the saturation histogram and the brightness histogram, and if the ratio is less than the threshold value, the width of the gradation is compressed.
- Compression means and a histogram enlargement means for enlarging the width of the entire gradation of the saturation histogram and the lightness histogram in which a part of the gradation width is compressed by the histogram compression means. It is more preferable to correct the saturation and the lightness respectively by the histogram enlargement means.
- the histogram enlarging means includes a minimum and a maximum gradation value in which the ratio of the number of pixels in the saturation histogram and the brightness histogram before the gradation width is compressed by the histogram compression means is not zero.
- the minimum and maximum gradation values in which the ratio of the number of pixels in the saturation histogram and the lightness histogram whose whole width of gradation is enlarged by the histogram enlargement means by the histogram enlargement means are not 0, and the gradation width is compressed.
- the gradation value is determined to a value other than 0, and the saturation histogram or brightness before the gradation width is compressed. If the maximum gradation value in the histogram is not the full scale value, the gradation value is determined to a value other than the full scale value, and the determined minimum and maximum values are set. Based on the tone value, the saturation histogram and brightness histograms compressed part of the width of the gradation by histogram compression means, it is possible to enlarge the width of the entire gradations.
- the histogram compression unit may determine that the ratio of the number of pixels that is less than the threshold value in the saturation histogram or the brightness histogram is equal to a predetermined value for the entire histogram. Harm
- An image correction program for a color image includes an input step for inputting image data, a conversion step for converting the image data into hue, saturation, and brightness, and a total pixel count for saturation and brightness.
- a histogram creation step of calculating the pixel count ratio for each gradation for each tone and creating a saturation histogram and a brightness histogram, and correcting the saturation and brightness based on the saturation histogram and the brightness histogram, respectively.
- the saturation and the brightness are respectively corrected by changing the gradation width of the saturation histogram and the brightness histogram based on the ratio of the number of pixels in the gradation. preferable.
- the correction step sets a threshold value for each of the pixel number ratios at each gradation of the saturation histogram and the brightness histogram.
- the histogram enlargement step includes the minimum and maximum gradation values in which the ratio of the number of pixels in the saturation histogram and the lightness histogram before the gradation width is compressed by the histogram compression step is not zero.
- the minimum and maximum gradation values in which the ratio of the number of pixels in the saturation histogram and the lightness histogram in which the width of the entire gradation is enlarged by the histogram enlargement step are not 0 are determined, and the gradation width is compressed.
- the gradation value is determined to a value other than 0, and the gradation width in the saturation histogram or lightness histogram before the gradation width is compressed is determined. If the maximum gradation value is not the full scale value, the gradation value is determined to a value other than the full scale value, and the decision is made. Based on the minimum and maximum gradation values, a part of the gradation width is compressed by the histogram compression step, For a gram and a brightness histogram, the width of the entire gradation can be expanded.
- the histogram compression step includes setting a threshold and a value so that the ratio of the number of pixels that is less than the threshold value in the saturation histogram or the brightness histogram is a predetermined ratio of the entire histogram. I'm sorry. The invention's effect
- the saturation and the lightness are corrected based on the saturation histogram and the lightness histogram, respectively, the contrast of the saturation and the lightness is improved, and the color image is effectively improved. Appearance can be improved.
- FIG. 1 is a diagram showing an embodiment of an image processing device according to the present invention.
- FIG. 2 is a diagram showing a flowchart of an image correction processing program.
- FIG. 3 is a view showing a flowchart of a subroutine process in brightness histogram compression.
- FIG. 4 is a diagram showing an example of a created brightness histogram.
- FIG. 5 is a diagram showing an example of a brightness histogram in which a gradation width is compressed.
- FIG. 6 is a diagram showing an example of a brightness histogram in which a compressed gradation width is enlarged.
- FIG. 8 is a diagram showing a state in which the present invention is applied to a personal computer.
- FIG. 1 shows an embodiment of an image processing apparatus according to the present invention.
- the image processing apparatus shown in FIG. 1 receives color image data such as a captured image and corrects both the saturation and brightness of the image data based on the respective histograms, thereby improving the appearance of the image.
- This image processing apparatus has an input device 1, an interface 2, a CPU 3, a storage device 4, and a monitor 5, which are connected to each other by a bus line 6.
- the input device 1 is a device that supplies image data to be input to the image processing device.
- the input device for example, a scanner, a digital camera, a drive device of a storage device such as a CD-ROM or a memory card, or the like is used.
- the image data supplied from the input device 1 is input to the CPU 3 via the interface 2.
- the CPU 3 is a processor that executes an image correction processing program stored in the storage device 4 and performs correction processing on input image data.
- the storage device 4 is a device that stores the image correction processing program and also stores the image data input to the CPU 3 from the input device 1 and the image data corrected by the CPU 3. For example, an HDD is used. It is. An image based on these image data is displayed on the monitor 5.
- FIG. 2 shows a flowchart according to the image correction processing program executed in the CPU 3.
- the RGBZHSV conversion of step S1 is performed.
- R (red), G (green), and B (blue) values of input image data are converted to H (hue), S (saturation), and V (brightness) values.
- a conversion method at this time a known method is used.
- a histogram is created for the brightness of the image data converted by the RGB / HSV conversion in step S1.
- the histogram shown in FIG. 4 has been created.
- the horizontal axis represents the lightness gradation (up to i) up to 0 255
- the vertical axis represents the pixel number ratio (Fi) at that lightness i.
- the pixel number ratio is a ratio of the number of pixels of the lightness gradation to the total number of pixels of the image.
- the pixel number ratio Fi is greater than or equal to the threshold value for each brightness tone i. Is determined, and the width of the lightness gradation in the portion less than the threshold value is compressed.
- step S31 of FIG. 3 the variable TEMP in the temporary memory is reset to zero, and the process proceeds to step S32.
- the lightness gradation i indicates the lightness gradation of the original histogram created before the compression of the lightness gradation width, that is, in the lightness histogram creation in step S2 in FIG.
- the lightness gradation j indicates the lightness gradation of the lightness histogram after the lightness gradation width is compressed, that is, after the lightness gradation width is compressed by the processing of the flowchart of FIG.
- step S33 the flag FLAG is set to FALSE which is an initial value.
- step S34 the pixel number ratio Fi is compared with the calculated threshold value S.
- This threshold value S is calculated based on the designation input of the threshold value (step S320) performed by the user. At this time, for example, it is possible to specify whether the threshold value is a constant according to the force ⁇ brightness gradation that is a constant. If it is a constant, the value input by the user is set as the threshold value S. On the other hand, when setting the threshold value according to the lightness gradation, the user specifies the threshold value S as a function S (i) of the lightness gradation i. With this function S (i), a threshold value is calculated according to the lightness gradation. Further, the threshold value may be automatically set according to the image without the user inputting or specifying the threshold value. For example, the threshold value S is set so as to be a predetermined ratio such as the total power S of the pixel number ratio Fi that is less than the threshold value or 10% of the entire histogram.
- step S34 if the pixel number ratio Fi is less than the threshold value S, the flag FLAG is set to TRUE in step S35. Further, in step S36, the variable TEMP of the temporary memory is set to the current brightness gradation. Pixel number ratio Fi of i. Thereafter, in step S37, the variable TEMP is compared with the threshold value S. When step S37 is executed for the first time, the determination result is always N ⁇ .
- step S37 If a negative determination is made in step S37, variable TEMP is stored in variable Gj in step S37A, and the flow advances to step S38.
- step S38 1 is added to the lightness gradation i, and in step S39, it is determined whether the lightness gradation i is 255 or more. If step S39 is denied, the process returns to step S34. At this time, if a negative determination is made in step S34, steps S35 and S36 Repeat S37, S38, S39.
- step S310 the value of variable TEMP is stored in variable Gj. That is, when the pixel number ratios Fi of a plurality of continuous lightness gradations are both less than the threshold value S, the pixel number ratios Fi are integrated in step S36. When this integral value becomes equal to or larger than the threshold value S, in step S310, this integral value is set as the pixel number ratio Gj in the brightness gradation j of the corrected histogram.
- Step S310 force When the process proceeds to step S311, the variable TEMP is reset to zero, and in step S312, 1 is added to the lightness gradation j. Next, in step S319, the flag FLAG is set to FALSE. Thereafter, the process returns to step S34 via steps S38 and S39. If step S34 is denied, the operation is performed as described above.
- step S34 if step S34 is affirmed, that is, if the pixel number ratio Fi to the current lightness gradation i is equal to or larger than the threshold value S, it is determined in step S313 whether the flag FLAG is TRUE.
- This step S313 is based on the previous processing cycle, that is, whether or not the pixel number ratio Fi when the current brightness gradation is 1 smaller than the brightness gradation is equal to or larger than the threshold value S, and the subsequent processing procedure is determined. Provided to change.
- step S313 If the pixel number ratio Fi in the previous processing cycle is equal to or larger than the threshold value S, a negative determination is made in step S313, and in step S314, the pixel number ratio Fi of the current lightness gradation i is stored in a variable Gj. In step S312, 1 is excluded from the brightness gradation j. Then, the process returns to step S34 via steps S319, S38, and S39. If a negative determination is made in step S313, the operation is performed as described above.
- step S313 If the pixel number ratio Fi in the previous processing cycle is less than the threshold value S, an affirmative determination is made in step S313, and in step S315, the value of the variable TEMP is stored in the variable Gj.
- step S316 the value of the pixel number ratio Fi is stored in the variable Gj + 1.
- step S317 the variable TEMP is reset to zero, and in step S318, 2 is added to the brightness gradation j.
- step S319 the flag FLAG is set to FALSE, and the process returns to step S34 via steps S38 and S39.
- step S313 is affirmatively determined, the operation is performed as described above.
- the processing is performed for all the brightness gradations i, and finally, the affirmative judgment is made in step S39. Then, the processing flow shown in FIG. 3 ends.
- the pixel number ratio Fi that does not exceed the threshold value S is integrated in step S36, and is stored in the variable Gj in step S37A, S310, or S315.
- the histogram of the pixel number ratio Fi for the lightness gradation i before the processing indicates that the pixel number ratio Fi is less than the threshold.
- the width of the brightness gradation in a certain part is compressed.
- FIG. 5 shows the brightness histogram of FIG. 4 compressed by the processing of the flowchart of FIG. 3 described above.
- the horizontal axis represents the lightness gradation j
- the vertical axis represents the pixel number ratio Gj based on the variable Gj.
- the lightness gradations shown in FIGS. 5A and 5B are the minimum value and the maximum value of the lightness gradation j in which the pixel number ratio Gj is not 0, and are used in the processing of step S4 described below.
- the gradation width of the brightness histogram compressed in the brightness histogram compression in step S3 is expanded. This is done as follows. First, in the lightness histogram of FIG. 4, that is, the lightness histogram before the compression of the gradation width, the minimum value and the maximum value of the lightness gradation i in which the pixel number ratio Fi is not 0 are obtained. Here, for example, it is assumed that the minimum value A and the maximum value B shown in FIG. 4 have been obtained.
- the compressed gradation width is expanded based on the obtained minimum value A and maximum value B.
- the lower limit value A and the upper limit value B are set to the minimum value A of the lightness gradation i in the original histogram or when the maximum value B is not the full scale.
- the black and white do not exist even after the image correction processing, and the image is improved experimentally or statistically so that the image looks good. Determined by the required relationship.
- the relationship can be represented, for example, by a curve 70 as shown in FIG. Based on this relationship, the gradation width expansion shown on the vertical axis is based on the minimum value A and maximum value B of the lightness gradation in the original histogram shown on the horizontal axis.
- the lower limit A and the upper limit B of the lightness gradation at the time are determined. In this way, when black and white do not exist in the original image, black and white do not exist in the image after the correction processing.
- the lightness gradation width of the frequency distribution to a full-scale value in the method described in Patent Document 1 to zero power or the like, an image that is originally black or white, However, it is possible to prevent black and white from being generated and to significantly change the appearance of the image.
- the brightness gradation width of the histogram compressed in step S3 in FIG. 2 is expanded using the following conversion formula (1).
- the value of the lightness gradation j is converted by the equation (1), and the value of the pixel number ratio Gj in the lightness gradation j is kept as it is, so that the width of the lightness gradation can be expanded.
- “H” and “/ 3” in Equation (1) are the minimum value and the maximum value 13 of the lightness gradation j in which the pixel number ratio Gj in FIG. 5 is not 0.
- FIG. 6 shows an enlarged gradation width of the histogram in FIG. 5 by this processing.
- the same processing as for lightness is performed for saturation, including the creation of a saturation histogram in step S5, the saturation histogram compression in step S6, and the step.
- the saturation histogram enlargement in S7 a saturation histogram based on the corrected saturation is created.
- the vivid part is more vivid and the non-vibrant part is more vivid and less saturated.
- the contrast is enhanced. This effect is especially In a colorful subject, for example, an image with colorful flowers on one side, only the colorful parts of the flowers are more vividly emphasized, and the other parts are less vivid, making them very attractive. This is where the image can be obtained, which is an effect that could not be achieved by the conventional method of applying a uniform level of saturation to the entire image. in this way
- the value determined by the result of the lightness correction in the method described in Patent Document 3 can be adjusted to the saturation, so that the portion where the saturation is originally low is reduced. However, it is possible to prevent the saturation from being emphasized too much.
- the image data based on the corrected brightness and saturation histograms are converted into HSV value RGB values. The converted image data is output from the CPU 3 and stored in the storage device 4 or the image is displayed on the monitor 5.
- the ratio of the number of pixels that is less than the threshold Since the threshold value is set so as to be a fixed ratio, it is possible to easily execute the image correction processing that does not require the user to perform a troublesome operation.
- the image correction processing program executed to realize the present invention is recorded on the recording medium of the storage device 4, and the CPU 3 executes the image correction processing program.
- the image correction processing program described above may be stored in the input device 1 and executed.
- the image correction processing program may be imported to a personal computer or an input device using a recording medium such as a CD-ROM.
- the image correction processing program may be loaded into a personal computer or an input device as a data signal through an electric communication line such as the Internet.
- FIG. 8 is a diagram showing this state.
- the personal computer 500 can receive the image correction processing program via the CD-ROM 502.
- the personal computer 500 has a function of connecting to the communication line 501, and an image correction processing program is provided from the server 400.
- the communication line 501 is a communication line such as the Internet or personal computer communication, or a dedicated communication line.
- Sarnoku 400 transmits the image correction processing program to the personal computer 500 via the communication line 501. That is, the image correction processing program is converted into a data signal on a carrier wave and transmitted via the communication line 501.
- the image correction processing program can be supplied as various types of computer-readable computer program products such as recording media and carrier waves.
- each component is not limited to the above embodiment.
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JP2003180684A JP2006237657A (ja) | 2003-06-25 | 2003-06-25 | 画像処理装置、画像補正プログラムおよび記録媒体 |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1750143A2 (en) * | 2005-07-27 | 2007-02-07 | Medison Co., Ltd. | Ultrasound diagnostic system and method of automatically controlling brightness and contrast of a three-dimensional ultrasound image |
CN101442678B (zh) * | 2007-05-14 | 2011-06-29 | 奥林匹斯冬季和Ibe有限公司 | 用于内窥镜图像的图像处理的方法和设备 |
US8705152B2 (en) | 2006-10-12 | 2014-04-22 | Samsung Electronics Co., Ltd. | System, medium, and method calibrating gray data |
CN104268548A (zh) * | 2014-09-01 | 2015-01-07 | 西南交通大学 | 一种基于道路图像的积雪检测方法 |
CN105118029A (zh) * | 2015-08-11 | 2015-12-02 | 曲阜裕隆生物科技有限公司 | 一种基于人眼视觉特性的医学图像增强方法 |
CN116017171A (zh) * | 2023-02-01 | 2023-04-25 | 北京小米移动软件有限公司 | 一种图像处理方法、装置、电子设备、芯片及存储介质 |
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JP5211521B2 (ja) | 2007-03-26 | 2013-06-12 | 株式会社ニコン | 画像処理装置、画像処理方法、画像処理プログラム、およびカメラ |
JP5375494B2 (ja) * | 2009-09-30 | 2013-12-25 | セイコーエプソン株式会社 | 画像処理装置、画像出力装置、画像処理方法及びプログラム |
JP2017139678A (ja) * | 2016-02-05 | 2017-08-10 | Necプラットフォームズ株式会社 | 画像データ変換装置、画像データ変換方法、画像データ変換用プログラム、pos端末装置、及びサーバ |
CN113160087B (zh) * | 2021-04-29 | 2024-03-19 | 平安科技(深圳)有限公司 | 图像增强方法、装置、计算机设备及存储介质 |
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JPH1023279A (ja) * | 1996-06-28 | 1998-01-23 | Fuji Xerox Co Ltd | 画像処理装置 |
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
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EP1750143A2 (en) * | 2005-07-27 | 2007-02-07 | Medison Co., Ltd. | Ultrasound diagnostic system and method of automatically controlling brightness and contrast of a three-dimensional ultrasound image |
EP1750143A3 (en) * | 2005-07-27 | 2009-09-09 | Medison Co., Ltd. | Ultrasound diagnostic system and method of automatically controlling brightness and contrast of a three-dimensional ultrasound image |
US8705152B2 (en) | 2006-10-12 | 2014-04-22 | Samsung Electronics Co., Ltd. | System, medium, and method calibrating gray data |
CN101442678B (zh) * | 2007-05-14 | 2011-06-29 | 奥林匹斯冬季和Ibe有限公司 | 用于内窥镜图像的图像处理的方法和设备 |
CN104268548A (zh) * | 2014-09-01 | 2015-01-07 | 西南交通大学 | 一种基于道路图像的积雪检测方法 |
CN105118029A (zh) * | 2015-08-11 | 2015-12-02 | 曲阜裕隆生物科技有限公司 | 一种基于人眼视觉特性的医学图像增强方法 |
CN116017171A (zh) * | 2023-02-01 | 2023-04-25 | 北京小米移动软件有限公司 | 一种图像处理方法、装置、电子设备、芯片及存储介质 |
CN116017171B (zh) * | 2023-02-01 | 2023-06-20 | 北京小米移动软件有限公司 | 一种图像处理方法、装置、电子设备、芯片及存储介质 |
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