JP3671270B2 - Image processing device - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an image processing apparatus that performs edge enhancement processing on image information input from an external device and outputs the image information.
[0002]
[Prior art]
In recent years, digital still cameras have become widespread. This digital still camera stores captured image data as digital data in a storage disk device. The image data can be displayed on an external or built-in display device or printed on a printing device connected via an interface and viewed at any time. And the demand of the printer as the printing output apparatus is increasing.
[0003]
The printer includes a data memory, a work memory, a printing memory, and the like, and includes a control device that controls the entire printer, such as communication control with a camera, image processing, and printing control. The printer is connected to a digital still camera (hereinafter simply referred to as a camera) via a serial I / F (interface) at the time of printing. In general, image data transmitted from a camera is compressed by JPEG or the like, and the compressed image data is transmitted to the printer in the same format. The printer stores the compressed image data in a data memory and performs image processing and printing processing.
[0004]
FIG. 20 is a flowchart showing the operation of the printing process by such a printer. As shown in the figure, when the print start key is input (step S1), communication with the camera is started, image data (JPEG compressed data) is received from the camera and stored in the data memory (step S1). S2). Then, JPEG decompression is performed on the image data (step S3). In this process, the luminance and color difference data (Y, Cb, Cr data) generated by the JPEG decompression process is developed on the work memory.
[0005]
Next, the “Y, Cb, Cr” data is converted into spectral data “R, G, B” data (step S4). The converted “R, G, B” data (hereinafter referred to as RGB data) is also stored in the work memory. Subsequently, the RGB data is subjected to image enlargement / reduction, color conversion processing to print data “Y, M, C” for full-color printing using the three primary colors of subtractive color mixing, and the like. The image data for one screen is stored in the printing memory (step S5).
[0006]
When the image data for one screen on which processing such as enlargement / reduction of the image has been completed is stored in the print memory, edge enhancement is uniformly applied to the entire image data for one screen on the print memory. Processing is performed (step S6). Then, the image data that has been subjected to the edge enhancement processing is read from the printing memory and printed (step S7).
[0007]
FIGS. 21A and 21B are tables used for the above-described print processing. FIGS. 21C and 21D show the image size specified by these tables and the addresses on the printing memory. FIG. The table in FIG. 5A is stored in a ROM or the like, and shows the size information of the image after enlargement / reduction and the address on the printing memory. The first elements “0”, “1”, “1” in each row of “0, 0”, “1, 0”, “1,240”... Shown in order from the top row in FIG. Is the size information after the enlargement / reduction processing of the image. As shown in FIG. 5B, “0” is the size “640 × 480”, “1” is the size “320 × 240”, “2”. (Not shown in FIG. 5A) indicates “160 × 120”. By referring to this table, the actual image size can be obtained from the size information “0”, “1”, “2”.
[0008]
The second elements “0”, “0”, “240”,... In each row indicate addresses on the print memory where writing is first performed in image processing. Therefore, “0, 0” in the first row of the table of FIG. 5A indicates that the size is “640 × 480” and the address of the first pixel is “0”. “1, 0” in the second row indicates that the size is “320 × 240” and the address of the first pixel is “0”. The third “1,240” indicates that the size is “320 × 240” and the address of the first pixel is “240”. The same applies to the third and subsequent lines.
[0009]
FIG. 4C shows the arrangement of the write address of the pixel of the screen G0 having a 640 × 480 dot configuration on the print memory. The first pixel on the upper left is the address “0” on the print memory. Placed in. This screen G0 shows the screen configuration designated by the data “0, 0” in the first row of the table of FIG.
[0010]
In the screen G0 having the 640 × 480 dot configuration, 480 pixels from the upper left address “0” are sequentially arranged on the lower left. The addresses of these 480 pixels are “0”, “1”, “2”,..., “479”, respectively. Therefore, when the screen having the 640 × 480 dot configuration shown in FIG. 5C is divided into four as shown in FIG. 4D to obtain the screens G1, G2, G3, and G4 having the 320 × 240 dot configuration, the lower left split screen is displayed. The write address of the first pixel P1 of G2 is “240”. This divided screen G2 shows the screen configuration designated by the data “1, 240” in the third row of the table of FIG. The upper left divided screen G1 shows the screen configuration designated by the data “1, 0” in the second row of the table of FIG.
[0011]
The address of the pixel on the right side of the address “0” in FIGS. 4C and 4D is “480”, and then downwards to “481”, “482”,. The pixel address continues. This is sequentially repeated to the right, and the last 480 pixels from the upper right address “306720” to the lower right address “307199” are arranged. As a result, the write address of the first pixel P2 in the upper right divided screen G3 in FIG. 4D is “15360”, and the write address of the first pixel P3 in the lower right divided screen G4 is “153840”. The above-mentioned divided screen G3 shows the screen configuration designated by the data “1, 15360” in the fourth row of the table of FIG. 10A, and the divided screen G4 is 5 of the table of FIG. The screen configuration specified by the data “1, 153840” on the line is shown.
[0012]
[Problems to be solved by the invention]
By the way, as described above, the edge enhancement processing is performed in the same manner for both the input image from the host device (in this case, the camera) and the size of the print image after the image processing. However, when edge enhancement processing is uniformly performed in this way, the enlarged image looks blurred and the reduced image looks sharp when the one image is enlarged or reduced. In other words, as described above, if edge enhancement processing is performed to the same extent for both enlarged and reduced images, there is a complaint that the enlarged image is not sharp enough, and the reduced image is sharp. The problem of passing too much occurs. Even if the size of the print image after image processing is the same, the same problem occurs if the size of the input image is different.
[0013]
An object of the present invention is to provide an image processing apparatus that performs appropriate edge enhancement processing corresponding to the size of an input image and the size of a print image.
[0014]
[Means for Solving the Problems]
The configuration of the image processing apparatus of the present invention will be described below.
An image processing apparatus according to the present invention includes an edge processing table that indicates the degree of edge enhancement for generating edge data by performing edge enhancement processing on input image data for one screen from an external device.And an image area table in which reference coordinate information and size information are associated with each other for each of a plurality of image areas existing in one screen,Edge processing tableAnd the image area tableRead out from the memorySaidEdge processing tableAnd the image area tableOn the basis of theDifferent image areas of different sizes existing in one screenAnd an image processing unit that performs edge enhancement processing.
[0015]
For example, claims 2 As described, the image area table further includes rotation presence / absence information for each image area, and the image processing unit recognizes that the image of the processing area selected by the image area table is rotated. Is configured to perform edge enhancement processing according to the rotated image .
[0016]
Claims Three As described, in the edge processing table, an edge enhancement coefficient for an image when the image is stored in a predetermined memory area in either a horizontal direction or a vertical direction for processing is set in advance. When the orientation of the image stored horizontally or vertically in the predetermined memory area is different from the orientation of the image corresponding to the edge enhancement coefficient of the edge processing table, the processing unit The upper and lower values and the left and right values are interchanged, and the y-direction size and the x-direction size obtained from the size information are interchanged for use.
[0017]
According to a fourth aspect of the present invention, the edge processing table includes a coefficient sequence having a one-to-one correspondence with the size of the input image, and the image processing unit determines whether or not to perform edge enhancement processing according to the output image. The edge emphasis process availability table is provided, and the edge enhancement process availability table and the edge process table are configured to execute or not execute the edge enhancement process on the output image.
[0018]
According to a fifth aspect of the present invention, the edge processing table includes a coefficient sequence corresponding to each model of the external device.
[0019]
In addition, for example, the image processing unit further includes a memory area for storing coefficient data for image processing transmitted from the external device, and for image processing transmitted from the external device. When coefficient data is transmitted, image processing before the edge enhancement processing is performed using the transmitted coefficient data, and processing is performed by replacing the coefficient in each table with the transmitted coefficient. .
[0020]
The image processing apparatus according to the present invention also includes an edge enhancement coefficient set in advance corresponding to the size information of the image to be processed and a predetermined direction of the image when the image is stored in a predetermined memory area. And a memory for storing the rotation presence / absence information of the processing target image stored in the predetermined memory area, and the edge enhancement coefficient when the rotation of the processing target image is recognized by the rotation presence / absence information stored in the memory. And an image processing unit that performs edge enhancement processing according to the rotated image by converting the size information according to the rotation of the image. In the image processing apparatus, the edge enhancement coefficient indicates the degree of edge enhancement with respect to the image when the image is stored in the predetermined memory area in either the horizontal direction or the vertical direction. When the orientation of the image stored horizontally or vertically in the predetermined memory area is different from the orientation of the image corresponding to the edge enhancement coefficient, the upper and lower values and the left and right values of the edge enhancement coefficient are exchanged. The y-direction size and the x-direction size obtained from the size information are used interchangeably.
[0021]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 is a block diagram illustrating a configuration of an image processing apparatus according to the first embodiment. The image processing apparatus 1 shown in FIG. 1 is an interface controller unit of a printer, for example, and the print control circuit 2 is an engine controller unit of a printer, for example. A digital camera (hereinafter simply referred to as a camera) 3 that is an external host device is connected to the image processing apparatus 1 via a serial interface (I / F).
[0022]
The image processing apparatus 1 includes a CPU 4. The CPU 4 includes a print start key 5 for a user to give an instruction to start printing, a data memory 6 for storing image data input from the camera 3, and enlargement / reduction of the image data. The work memory 7 temporarily used to perform image processing such as conversion from the enlarged / reduced data to print data and edge enhancement processing to the converted data, for one screen after image processing A print memory 8 for storing print image data, a ROM 9 for storing processing programs and coefficients, and the like are connected. The print control circuit 2 controls the printer engine unit based on the print image data read from the print memory 8 and executes printing.
[0023]
In this embodiment, as will be described in detail later, the size of input image data (hereinafter also simply referred to as an input image) input from the camera 3 and print image data after image processing (hereinafter also simply referred to as a print image). ) To change the degree of edge enhancement (coefficient) and perform image processing.
[0024]
FIGS. 2A and 2B are diagrams showing the size of the input image of the camera 3 used as an external device in the present embodiment. In recent digital cameras, the size (number of pixels) of an image can be selected from two types, for example, 640 × 480 dots (hereinafter referred to as VGA size) and 320 × 240 dots (hereinafter referred to as QVGA size) at the time of shooting. It has become. On the other hand, the resolution of the print image of the printer is usually a kind of cheek as shown in FIG. FIG. 7C shows a resolution of 640 × 480 dots similar to the image configuration shown in FIG.
[0025]
As described above, since the printer has only one resolution, the printer converts the image size so as to match the resolution of the printer when printing an input image from the camera. In this case, when there are two shooting modes of the VGA size and the QVGA size, the printer should be designed with a resolution that does not require image size conversion for one of the input images. Efficient.
[0026]
In this embodiment, for convenience of explanation, the photographing mode of the camera 3 is set to two types, that is, the VGA size shown in FIG. 2A and the QVGA size shown in FIG. 2B, and the printer resolution is shown in FIG. 640 × 480 dots. That is, when the input image is VGA size, image size conversion is not necessary, and when the input image is QVGA size, image size conversion is required.
[0027]
FIG. 3A is a diagram showing an example of an edge enhancement coefficient table (edge processing table) used in the present embodiment. (B), (c), and (d) in the figure are diagrams for explaining the contents of the edge processing table. As shown in FIG. 6A, the edge processing table is composed of a set of three coefficients “a, b, c”. Then, for example, “−1, −1, 5” is prepared as the edge enhancement coefficient “a, b, c” corresponding to the VGA size input image, and the edge enhancement coefficient “a, b” corresponding to the QVGA size input image is prepared. , C ", for example," -1/8, -1/8, 3/2 "is prepared. This edge enhancement coefficient “a, b, c” is “weight” data when performing edge enhancement on the pixel-of-interest data, and as shown in FIG. For each pixel, a coefficient “c” is assigned to the center pixel of interest, a coefficient “a” is assigned to each of the left and right pixels, and a coefficient “b” is assigned to each of the upper and lower pixels. Since the coefficient “0” is always assigned to the four pixels in the oblique direction, the storage in the edge processing table of FIG. These coefficients are multiplied by the pixel data at the assigned positions, and the value obtained by adding up all the multiplied values is the value of the pixel of interest.
[0028]
Based on the coefficient allocation arrangement of FIG. 6B, the edge enhancement coefficients “−1, −1, 5” for the VGA size are distributed around the pixel of interest P11 as shown in FIG. The edge enhancement coefficients “−1/8, −1/8, 3/2” for the QVGA size are distributed around the pixel of interest P12 as shown in FIG. The edge enhancement coefficients “−1, −1, 5” for VGA size are strong edge enhancement coefficients, and strongly emphasize the outline of the VGA size image that becomes a large screen so as not to blur. On the other hand, the edge enhancement coefficients “−1/8, −1/8, 3/2” for the QVGA size are weak edge enhancement coefficients so that the outline of the QVGA size image that is a small screen does not become tight. Emphasis on modestly. Values corresponding to the image sizes of these edge enhancement coefficients are set empirically based on experimental values.
[0029]
FIG. 4 is a flowchart showing an operation of processing performed by the CPU 4 of the image processing apparatus 1 in the above configuration. This process is started when the print start key 5 is pressed (step S10).
[0030]
First, the CPU 4 communicates with the camera 3, receives image data to be printed, and stores it in the data memory 6 (step S11). The image data inside the camera 3 is compressed by JPEG and transmitted to the printer in the same format.
[0031]
When receiving the JPEG-compressed input image data, the CPU 4 obtains the JPEG decompressed size (hereinafter referred to as input image size) of the received image data (step S12). This input image size can be obtained by analyzing the header portion of the input image data compressed with JPEG. In the present embodiment, as described above, there are only two types of input image sizes, VGA size and QVGA size.
[0032]
Next, referring to the analysis result (step S13), if the size is VGA (S13 is Y), "1" is stored in the internal register of the CPU 4 (step S14). If the size is QVGA (S13 is N), “0” is stored in the internal register (step S15).
[0033]
When this analysis processing is completed, the CPU 4 performs JPEG decompression of the input image data, further performs processing to convert the “Y, Cb, Cr” data into “R, G, B” data, and the result is stored in the work memory 7. (Step S16).
[0034]
Then, the value stored in the internal register is referred to and it is determined whether or not the value is “0” (step S17). This processing is processing for determining whether or not the input image is a QVGA size image (VGA size).
[0035]
If the value of the internal register is “0” in this determination, that is, the input image is QVGA size (Y in S17), the image enlargement process for converting the image size in FIG. 2B to the image size in FIG. (Step S18), color conversion processing to convert the data into “Y, M, C” data is performed, and the converted image data (hereinafter referred to as an output image) is stored in the printing memory 8 (step S19). . On the other hand, when the value of the internal register is “1”, that is, the input image is VGA size, step S19 is immediately performed.
[0036]
Thus, in the present embodiment, the image processing is varied depending on the size of the input image determined in step S13. That is, enlargement processing for size conversion is performed only when the input image is QVGA size. By the way, such enlargement processing of the image generates blurring of the enlarged image. In order to remove this blur, a strong edge enhancement process is performed using an edge enhancement coefficient as shown in FIG. However, if the same edge enhancement processing as described above is performed on an image that has not been subjected to the enlargement processing, an image having a rough impression is produced. Therefore, the edge enhancement coefficient is changed depending on the input image size.
[0037]
That is, in this embodiment, the value stored in the internal register is referred again after the above processing, and it is determined whether or not the value is “0”, that is, whether or not the input image is a QVGA size image. (Step S20). If the value of the internal register is “0”, that is, if the input image is a small QVGA size image (Y in S20), this image has been enlarged, so the stronger one in FIG. The edge enhancement coefficient is read from the ROM 9 (step S21), and the edge enhancement process is uniformly performed on the entire image of one screen on the printing memory 8 by using the read strong edge enhancement coefficient (step S21). S23). When this edge emphasis processing is completed, the print control circuit 2 reads out the processed print image data from the print memory 8 and performs printing (step S24).
[0038]
On the other hand, if it is determined in step S20 that the value of the internal register is “1” (N in S20), this input image has the VGA size and is maintained as it is. Therefore, in this case, the weak edge enhancement coefficient shown in FIG. 3D is read from the ROM 9 (step S22), and the processes of steps S23 and S24 are performed.
[0039]
As described above, in the present embodiment, a plurality of edge enhancement coefficients corresponding to the relationship between the input image size and the print image size after image processing are set in advance as an edge processing table, and the enlarged image and the enlarged image are processed. Distinguish the image from the unprocessed image, and use the edge enhancement coefficient corresponding to the enlarged or non-enlarged image to make a difference between the strength and weakness of the edge enhancement process. A high-quality printed image that has undergone an edge enhancement process is obtained.
[0040]
In the first embodiment described above, the size of the print image after image processing is described as being only the VGA size, but in general, a printer for a digital camera prints a pattern in which a plurality of the same images are arranged. Often has a mini-label printing function.
[0041]
FIGS. 5 (a) and 5 (b) are diagrams showing examples of printing screens for such mini-label printing. FIG. 5 (a) shows the case where four QVGA size images are the same, FIG. 5 (b). Indicates a case where there are 16 identical images of 160 × 120 size. If there are four identical images shown in FIG. 5A, the VGA size input image is reduced to the QVGA size. Alternatively, an input image of QVGA size is used as it is without size conversion. In such a case, the edge enhancement degree may be changed depending on the input image size and the print image size after image processing. Of course, as each image in one screen becomes smaller, an edge enhancement coefficient adapted to such an image is used.
[0042]
FIG. 6 is a table of edge enhancement coefficients that can be applied to such mini-label printing. The edge processing table 10 shown in FIG. 6 includes two types of input images, VGA size and QVGA size, and three types of output images after image processing: VGA size, QVGA size, and 160 × 120 size. Six sets of coefficient sequences corresponding to combinations of “type” × “3 types” and a total of “6 types” (combination of input image size and output image size) are stored.
[0043]
Among these coefficient sequences, the coefficient sequence 11 and the coefficient sequence 15 in the case where the size of the input image and the size of the output image are the same are the same as the coefficient sequence for QVGA shown in FIG. Is the same as the coefficient sequence for VGA shown in FIG. 3A. Further, the coefficient sequence 12 and the coefficient sequence 16 when the output image size is reduced to 1/2 in the vertical and horizontal directions (1/4 in area) with respect to the size of the input image use a common coefficient sequence different from the above. . The coefficient sequence 13 corresponding to the output image size 160 × 120 for the input image VGA is “0, 0, 1”, and as a result, the coefficient is not subjected to edge enhancement processing. This is because, as shown in FIG. 5 (b), the image of size 160 × 120 is extremely small, so that the outline can be seen clearly even without edge enhancement. As described above, when processing is performed by finely setting a plurality of coefficient sequences according to the sizes of the input image and the output image, it is possible to cope with the case of mini-label printing.
[0044]
7 and 8 (a) and 8 (b) are flowcharts of edge enhancement processing that can be applied to the case of mini-label printing that operates using the above-described edge processing table. First, in the process of the main flowchart shown in FIG. 7, the processes of steps S30 to S37 are the same as the processes of steps S10 to S17 of the process shown in FIG. In the example of this process, the process after step S37 is different from the case of FIG.
[0045]
That is, in step S37, when the value stored in the internal register is “0”, that is, when the input image is QVGA size (Y in S37), QVGA size processing described in detail later is performed (step S38). When the value of “1”, that is, the input image is VGA size (N in S37), VGA size processing described later in detail is also performed (step S39). Then, after either the QVGA size processing or the VGA size processing, color conversion processing to convert the data into “Y, M, C” data is performed, and the converted image data (output image) is stored in the printing memory 8. (Step S40), and thereafter edge enhancement processing is performed (step S41).
[0046]
In this edge enhancement process, the edge enhancement coefficient read from the edge processing table of the ROM 9 is used together with the enlargement or reduction process in the QVGA size process or the VGA size process. The QVGA size processing and VGA size processing will be described with reference to the sub-flow charts of FIGS. 8 (a) and 8 (b).
[0047]
In the QVGA size processing shown in FIG. 8A, first, it is determined whether or not the VGA size is designated as the output image size after image processing (step S38-1). If the VGA size is specified as the output image size (Y in S38-1), the input image is the QVGA size, and therefore image enlargement processing for enlarging the image data of 320 × 240 dots to 640 × 430 dots is performed. (Step S38-2), the coefficients "-1, -1, 5" corresponding to the size of the input image and the size of the output image are read from the ROM 9 (Step S38-3), and the process returns to the main flowchart.
[0048]
If it is determined in step S38-1 that the output image size is not the VGA size (N in S38-1), it is further determined whether the QVGA size is designated as the output image size (step S38-1). S38-4). If the QVGA size is specified as the output image size (Y in S38-4), the input image is the QVGA size. In this case, the input / output images are the same size. Immediately, the coefficients “−1/8, −1/8, 3/2” when the input and output images have the same size are read from the ROM 9 (step S38-3), and the process returns to the main flowchart.
[0049]
If the output image size is not the VGA size in the determination in step S38-1 and not the QVGA size in the determination in step S38-4 (S38-4 is N), the output image size is 160 × 120. In this case, after performing an image reduction process for reducing an input image of 320 × 240 QVGA size to an output image of 16 sheets of 160 × 120 (step S38-6), The coefficients “−1/16, −1/16, 5/4” corresponding to the reduction processing are read from the ROM 9 (step S38-3), and the processing returns to the main flowchart.
[0050]
Next, in the VGA size processing shown in FIG. 8B, in this case as well, it is first determined whether or not the VGA size is designated as the output image size after the image processing (step S39-1). If the VGA size is designated as the output image size (Y in S39-1), the input image is the VGA size. In this case, the input / output images are the same size. Immediately, the coefficients “−1/8, −1/8, 3/2” when the input / output images have the same size are read from the ROM 9 (step S39-2), and the process returns to the main flowchart.
[0051]
If it is determined in step S38-1 that the output image size is not the VGA size (N in S39-1), it is subsequently determined whether the QVGA size is designated as the output image size (step S39). -3) If the QVGA size is specified (Y in S39-3), the input image is the VGA size, so the image reduction for reducing the image data of 640 × 430 dots to 320 × 240 dots of the QVGA size Processing is performed (step S39-4), and the coefficients “−1/16, −1/16, 5/4” corresponding to the size of the input image and the size of the output image are read from the ROM 9 (step S39-5). The process returns to the main flowchart.
[0052]
If the output image size is not the VGA size in the determination in step S39-1 and is not the QVGA size in the determination in step S39-3 (S39-3 is N), the output image size is 160 × 120. A size is specified. In this case, after performing an image reduction process for reducing an input image having a VGA size of 640 × 480 to an output image of 16 sheets of 160 × 120 (step S39-6), a coefficient “0” corresponding to this process is set. , 0, 1 ”is read from the ROM 9 (step S39-7), and the process returns to the main flowchart.
[0053]
As described above, since the edge enhancement processing is performed by changing the edge enhancement coefficient according to the size of the input image and the size of the output image, the input images shown in FIGS. In addition to the output image shown in FIG. 5A, the image for mini-label printing shown in FIGS. 5A and 5B can also be output with appropriate edge enhancement processing.
[0054]
In the above-described processing, processing is performed corresponding to a total of six types of combinations. However, when the size of the input image is three or more types, the branch from step S37 in the main flowchart of FIG. The number of output images may be increased to three or more. If the number of output image types is four or more, the determination process may be increased in accordance with the size type in each sub-flowchart of FIG.
[0055]
In addition, the edge enhancement coefficient is changed according to the input image size and the output image size. However, the present invention is not limited to this. You may comprise so that a coefficient may be changed. Further, although the edge enhancement processing is performed after the enlargement or reduction processing, the edge enhancement processing may be performed on, for example, a Y (luminance) signal before the enlargement or reduction without being limited thereto.
[0056]
By the way, in the first embodiment described above, the image for one screen existing on the printing memory 8 has one of the two sizes of the input image, and the image after the image processing is processed. The size of the output image is one of a plurality of sizes. Therefore, the edge enhancement processing is uniformly performed on the entire image of one screen on the printing memory 8 by the coefficients “a, b, c” selected according to the combination of the input image and the output image. Yes. However, not only images of the same size are always printed on the print screen, but also a case where a screen of a format in which images of different sizes are mixed on one screen is conceivable. In such a case, as described above, there is a problem if uniform edge enhancement processing is performed on the entire image of one screen. However, the present invention can cope with such a case. Less than. This will be described as a second embodiment.
FIG. 9A is a diagram showing an example of the output image processed in the second embodiment, and FIG. 9B shows each image of the screen configuration of FIG. 8 is a diagram schematically showing the relationship between the image area number and the address when written on the image 8, and FIG. 8C shows the image area number, the size information of each image written in the image area, and the start of writing. It is a table (image area table) showing addresses.
[0057]
The address configuration of the entire screen area for one screen shown in FIG. 9 (b) is the same as the address configuration of the pixel allocation described in FIG. 21 (c). Further, the size information and the write start address of each image shown in the table of FIG. 9C corresponding to the image area numbers are the same as the size information and the write start address described in FIG. is there.
[0058]
In the present embodiment, for example, an output image is displayed while performing edge enhancement processing for each image area using the tables shown in FIGS. 9B and 9C for the designated output image of FIG. The data is expanded on the print memory 8.
[0059]
FIG. 10 is a flowchart of processing of an output image in which images of different sizes are mixed on one screen in the second embodiment. In this process, an image area counter i and an address register adr (hereinafter simply referred to as an address adr) built in the CPU are used.
[0060]
As shown in the flowchart of FIG. 6, first, an image area counter i is initially set to “0” (step S50). As a result, in each image for one screen shown in FIG. 9 (a), preparations are made to sequentially advance image processing in ascending order from the image area number “0” shown in FIG. 9 (b).
[0061]
Subsequently, the size information and the write address corresponding to the image area number i are read from the ROM 9 (step S51). This process is a process of reading the size information and the write start address from the table of FIG. 9C. Since the image area number is “0” at the beginning, the size information corresponding to this “0” number and the address “ “1, 0” is read out.
[0062]
Following the above, the read write address (in this case, “0”) is set to the address adr (step S52). Thereby, the reference coordinates of the image area to be processed are set.
[0063]
Next, the actual size is read based on the size information (step S53). This process is based on the size information read in step S51 and the size information (in this case, “1”) in the address (in this case “1, 0”) as shown in FIG. This is a process of reading the actual size from the table in which the size information corresponds to the actual size. As shown in FIG. 21 (b), the actual size indicated by the size information “1” is 320 × 240, which is ¼ of the entire size as shown in FIGS. 9 (a) and 9 (b). This is the size of the image area “0”. If the expression is changed again here, the size 320 × 240 is a size in the range of 320 dots in the x direction and 240 dots in the y direction in FIG. 9B. Is shown.
[0064]
Following the above, an edge enhancement coefficient is read (step S54). The table used for reading out the edge enhancement coefficient is the table shown in FIG. 6 and is obtained based on the size of the input image and the size of the output image obtained from the size information.
[0065]
Thereafter, edge enhancement processing is sequentially performed based on the read edge enhancement coefficient. That is, first, edge enhancement processing of the dot (pixel data) indicated by the address adr is performed (step S55). As a result, the edge emphasis process is started from the dot at the writing start position that is the reference position.
[0066]
Subsequently, it is determined whether or not the edge enhancement processing for y dots (240 dots in this case) has been completed (step S56). If not yet completed (N in S56), the address adr is set to “1”. "Is incremented (step S59), and the above steps S55 and S56 are repeated. As a result, the edge enhancement process proceeds in the y direction.
[0067]
When it is confirmed in step S56 that the edge enhancement processing for y dots has been completed (S56 is Y), whether the edge enhancement processing for y dots has been performed x times, that is, the vertical 240 It is determined whether or not the edge enhancement processing for dot × horizontal 320 dots is completed (step S57). If x edge enhancement processing has not been completed yet (S57 is N), the value of the address adr is calculated by the expression “adr = adr + 480− (y−1)” and jumped (step S60). This process is a process of designating (calculating) the address of the first dot in the y direction in order to perform the next (adjacent) y direction process since the process in the y direction has been completed. That is, when the number of vertical dots “480” in the entire screen is added to the address that has just ended, the address next to the completed address is obtained. If the number of dots smaller by “1” than the number of vertical dots y of the size being processed is further subtracted from this, the address moves upward and is just an address adjacent in the x direction of the immediately preceding processing start address in the y direction. (Next processing start address).
[0068]
For example, the first y-direction processing end address of the image area “0” is “239”. Therefore, the above formula becomes “adr = 239 + 480− (240-1)”, and the new address adr to be jumped becomes “480”, which is an address adjacent to the first processing start address “0” in the x direction. is there.
[0069]
After this address jump processing, the above steps S55 to S59 are repeated again, and when the y direction is completed, the address jump is repeated at steps S57 and S60. As a result, the edge enhancement process for all dots in one image area proceeds. When it is confirmed in step S57 that the edge enhancement processing for y dots has been performed x times, the edge enhancement processing is performed for all image regions (from “0” to “9” in this example). It is determined whether or not the process has been completed (step S58). If it has not been completed (N in S58), the image area counter i is incremented by "1" (step S61). As a result, the next image area is designated as the processing target of the edge enhancement process.
[0070]
Thus, when the next image area is designated, the process returns to step S51, and the processes of steps S51 to S61 described above are repeated. In step S58, it is confirmed that edge enhancement processing has been completed for all image regions (Y in S58), and the processing is terminated.
[0071]
In this way, when performing edge enhancement after image processing such as image enlargement / reduction, each image is processed even when output images of different sizes after image processing are mixed in one screen of memory. A processing region can be selected for each region, and edge enhancement processing suitable for the image size can be performed.
[0072]
In the second embodiment described above, edge enhancement processing is performed after all images have been developed in the print memory 8. For example, image data of image area number 0 is placed on the print memory 8. Then, image enhancement such as color conversion processing and edge enhancement processing may be alternately repeated so that the edge enhancement processing is immediately performed.
[0073]
By the way, in the first and second embodiments, all images are in landscape orientation. In some cases, the output is designated in a state where the image is rotated 90 degrees. Even in such a case, if the edge emphasis coefficient is the same for the upper, lower, left, and right adjacent dots as shown in FIGS. 3C and 3D, the image area size data (x, y) is simply used. It is sufficient to perform processing only by exchanging the values of x and y. However, the edge emphasis coefficient may be different for the upper, lower, left, and right adjacent dots.
[0074]
FIGS. 11A and 11B are diagrams showing a state in which the images are rotated with respect to each other. The figure (a) is referred to as a landscape image, and the figure (b) is referred to as a portrait image. When viewed from (a) of the same figure, (b) of the same figure is rotated 90 degrees. At this time, the edge emphasis coefficient of the image in FIG. 9A is weighted with a coefficient “−2” only to the dots adjacent to the left and right of the target dot as shown in FIG. Assuming that the dot is an image that is not weighted with a coefficient of “0”, when the image in FIG. 10 (a) is rotated 90 degrees as shown in FIG. If it is to be expressed in the same manner as in FIG. (A), the edge emphasis processing coefficient must also be assigned to each dot in an arrangement rotated by 90 degrees as shown in FIG. Normally, this process is troublesome.
[0075]
The present invention can easily perform appropriate edge enhancement processing even in such a case. Hereinafter, this will be described as a third embodiment.
FIG. 12A shows the size and write address of the processed image (rotated image 21) in the third embodiment, and FIG. 12B shows the output image after image processing such as color conversion processing. Is a table (rotation data table) showing the area number, size, write address to the memory for printing, and the presence / absence of rotation. (C) in the figure shows the edge when the vertical and horizontal edge enhancement coefficients of the target dot are different An example of a processing table is shown.
[0076]
The write address (write start address) in FIG. 5A is designated not at the upper left corner but at the lower left corner as before. Also, 320 dots in the x direction are in the vertical direction, and 240 dots in the y direction are in the horizontal direction. This is because the lower left corner is written first when the image data is written into the printing memory 8 in response to the rotation of the image.
[0077]
In addition, the rotation data table in FIG. 7B is a third element indicating whether or not there is rotation (0: no rotation, 1: rotation) in the image area table shown in the first and second embodiments. Is a table for processing the rotated image of FIG. The image area number is “0”, the size information is “1” (320 × 240 dots), the address is “96400” (address in the lower left corner of the rotated image), and the presence / absence of rotation is “1” (with rotation). ing.
[0078]
In addition, the edge processing table in FIG. 3C stores the edge enhancement coefficient of the horizontally oriented image before rotation as it is. That is, the three elements of each coefficient row include the left-right coefficient a for the target dot in the image (horizontal image) before rotation from left to right, the vertical coefficient b for the target dot, and the coefficient c for the target dot itself. Show.
[0079]
FIG. 13 is a flowchart for explaining the procedure of edge enhancement processing of a rotated image using different edge enhancement coefficients for the upper and lower and left and right of the target dot, using such an edge enhancement table and the above rotation data table. Steps S70 to S74 in the flowchart are the same processing as steps S50 to S54 in the flowchart shown in FIG. 10, and during this time, a little different from the case in FIG. 10 is that the image area indicated by the image area counter i is in step S71. That is, the data corresponding to the number is read from the rotation data table shown in FIG.
[0080]
Unlike the case of FIG. 10, the rotation data table includes rotation information as well as the size information and the write address as described above. This rotation presence / absence information is referred to in the processing following steps S70 to S74, and processing is performed according to the presence / absence of rotation.
[0081]
That is, the above rotation presence / absence information is extracted (step S75), and then it is determined whether or not the rotation information is “1” indicating the presence of rotation (step S75). If the rotation presence / absence information is “1” indicating that there is rotation (Y in S75), first, in this case, the size x is subtracted from the address adr (step S77). As a result, the lower left writing address “96400” of the rotated image shown in FIG. 12A is changed to “96400−320 = 96080” and moved to the upper left corner of the image.
[0082]
Next, the size x and the size y are exchanged (step S78). As a result, the size 240 of the rotated image 21 shown in FIG. 12A is changed to the size x, the size 320 is changed to the size y, and the coordinates of all the dots of the image remain in the rotated state in the print screen of FIG. Expressed in x and y coordinates.
[0083]
Following the above, the edge enhancement coefficients a and b are switched (step S79). Thereby, a and b of the edge enhancement coefficient “−2, 0, 5” read corresponding to the size information “0” in the edge processing table of FIG. 12C are replaced, and the edge enhancement coefficient “0, -2,5 ". That is, the edge enhancement coefficient of FIG. 11C for the horizontally oriented image of FIG. 11A is converted to the edge enhancement coefficient of FIG. 11D for the rotated image (vertically oriented image) of FIG.
[0084]
As described above, after the size x and the size y are exchanged, and the edge enhancement coefficients on the upper and lower sides and the left and right sides are exchanged, the processing from step S80 is performed. If it is determined in step S76 that the rotation information is "0" indicating no rotation (S75 is N), the process immediately proceeds to step S80 and subsequent steps.
[0085]
Steps S80 to S86 are the same as steps S55 to S61 in FIG. However, since x and y are interchanged when there is rotation, the process of repeating 240 dots in the y direction 320 times in the x direction in FIG. 10 is 320 dots in the y direction in FIG. This process is repeated 240 times in the x direction. Further, when there is no rotation, the processing is the same as that in the case of FIG.
[0086]
As described above, when the image is rotated, the sizes x and y are exchanged. Therefore, as in the case where there is no rotation, the processing for y dots may be performed x times. Regardless of the procedure, the procedure can be handled uniformly. Further, an optimum edge enhancement process corresponding to the rotation of the image can be performed with only a slight increase in the processing procedure.
[0087]
Note that the edge processing table coefficient values stored in the ROM 9 are set to values that can be used as they are when the image is placed in landscape orientation. The coefficient may be used as it is when the image is in the portrait orientation, and the coefficients a and b may be exchanged when the image is in the landscape orientation.
[0088]
By the way, in the first to third embodiments described above, the capacity of the edge processing table for the edge enhancement coefficient increases as the type of size of the output image increases. Further, the setting work for determining the optimum edge enhancement coefficient for each size is a laborious work because this work is performed by trial and error experiments. In preparation for such a case, the present invention provides a further procedure. This will be described below as a fourth embodiment.
[0089]
In the fourth embodiment, only one type of edge enhancement coefficient is set for one type of input image size, and whether or not edge enhancement processing is performed is controlled by the set one type of edge enhancement coefficient. Like that. Empirically, even if image processing is controlled by whether or not edge enhancement processing is performed with one edge enhancement coefficient in this way, if the size of the output image is smaller than the size of the input image, There are often no major problems with quality. Therefore, by controlling the image processing in this way, the problem described in the section of the prior art that occurs when there is only one type of edge enhancement coefficient can be solved.
[0090]
FIG. 14 is a diagram showing an example of each size of the output image for reference, and only eight types are shown for convenience of explanation. The figure shows size 680x480, size 480x360, and size 384x248 above, and size 320x240, size 256x192, size 240x180, size 213x160, and size 160x120 below. Show. Both are the same scale. The input image size will be described below assuming that only the VGA size is used for simplicity.
[0091]
FIG. 15 (a) is a diagram showing an example of image layouts of different sizes, FIG. 15 (b) is a diagram showing an example of an image area table corresponding to the image layout, and FIG. The size table showing the actual size corresponding to the size information. In the upper part of the image area table in FIG. 6B, the image area number “0” is the image area number of the output image 22 of the print screen shown in FIG. , 11618 ”is the size information of the output image 22, and the write address“ 11618 ”is the address of the upper left corner 23 of the output image 22. The actual size of the output image 22 is read out to be 320 × 240 dots from the data column 24 of the size table in FIG. The same applies to the other output images 25 and 26. The output image 25 has the image area number “1”, the write address of the upper left corner 27 is “187698”, and the actual size corresponding to the size information “7” is It is 160 × 120 dots from the data column 28 in FIG. In the output image 26, the image area number is “2”, the write address of the upper left corner 29 is “184594”, and the actual size corresponding to the size information “5” is from the data columns 31 to 240 in FIG. × 180 dots.
[0092]
FIG. 16 is a table for determining whether or not edge enhancement processing is possible for various sizes of an output image that has been subjected to image processing on an input image of VGA size and output as described above. As shown in the figure, this edge emphasis processing availability table is composed of size information and table values. The size information corresponds to the size information of the size table shown in FIG. One of two types of table values “1” and “0” corresponds to each. The table value “1” indicates “Yes” for the edge enhancement process, and the table value “0” indicates “No” for the edge enhancement process.
[0093]
In the example of FIG. 16, the table value “1” corresponds to the size information “0” to “4”, and this performs edge enhancement processing on the output image of the actual size 640 × 480 to the actual size 256 × 192. It is shown that. Further, the table value “0” corresponds to the size information “5” to “7”, which indicates that the edge enhancement processing is not performed on the output images of the actual size 240 × 180 to the actual size 160 × 120. ing.
[0094]
FIG. 17 is a flowchart of processing for selectively performing edge enhancement processing according to the size of the output image using each of the above tables. In the flowchart shown in the figure, the processing in steps S100 to S102 is the same as the processing in steps S50 to S52 in the flowchart shown in FIG. However, in this case, the image area table read in step S101 is the image area table shown in FIG.
[0095]
Following the above processing, the edge enhancement control ROM table, that is, the edge enhancement process availability table shown in FIG. 16 stored in the ROM 9 is read based on the size information read from the image area table (step S103). Then, it is determined whether or not to perform edge enhancement processing (step S104). The start of processing is the image 22 with the image area number “0”. Therefore, in the example of FIG. 15B, the size information is “3”, and the table value of the edge enhancement process availability table corresponding to this is shown in FIG. In the example, it is “1”.
[0096]
Thus, when the table value of the edge enhancement process availability table is “1” instructing the edge enhancement process (Y in S104), the actual size is read from the size information (step S105). Thereby, in the example of the size table of FIG. 15C, the actual size “320 × 240” corresponding to the size information “3” is read out.
[0097]
Subsequently, edge enhancement processing of the dot indicated by the address adr is performed (step S106). The processing from step S106 to step S112 is the same as the processing from steps S55 to S61 in FIG. However, it differs from the other embodiments in that the edge enhancement coefficient used in the process is a fixed (that is, one type) edge enhancement coefficient having a value corresponding to an input image of VGA size. As described above, an edge enhancement process is instructed for a relatively large output image, and the edge enhancement process is executed.
[0098]
Further, in the subsequent processing of the image 25 having the image area number “1”, the table value corresponding to the size information “7” in the edge emphasis processing availability table read out in step S103 is “0”. The determination in S104 is “N”. In this case, the process immediately proceeds to step S109. As a result, it is instructed not to perform edge enhancement processing for an output image having a relatively small size, and the edge enhancement processing is ignored.
In the above embodiment, the input image size is set to only the VGA size, and the edge enhancement coefficient of the output image is fixed to one type corresponding to this, but the present invention is not limited to this. Correspondingly, prepare an edge enhancement coefficient table for each input image size, read the output image size, check the possibility of edge enhancement processing corresponding to that size, and set the edge enhancement coefficient. May be.
[0099]
By the way, as described above, a printer for a digital camera directly connects to the camera and executes printing while receiving an image signal. However, there are a plurality of models of cameras connected to the printer. The image processing inside the camera is usually different for each model, and is not uniform depending on the model. For example, the formula for converting the YCbCr signal to the RGB signal is special, noise specific to only a certain type of camera is superimposed on the image, or some cameras have blurry images.
[0100]
If the image is blurred, it needs to be handled differently from the edge enhancement processing that is used depending on the size of the output image described above, and other problems are corrected by image processing from JPEG decompression to writing to the print memory. There is a need to. That is, according to the type of camera connected, it is necessary to use different conversion formulas from YCbCr signals to RGB signals, perform filtering for noise removal, and change edge enhancement coefficients. The present invention is prepared to cope with such a case. This will be described below as a fifth embodiment.
[0101]
FIG. 18A is a filter table corresponding to the model of the camera connected to the printer in this embodiment. In the example shown in FIG. 18A, three models of camera A, camera B, and camera C are shown. Is assumed. The filter table is stored in advance in the ROM 9, and data indicating whether or not to filter is set for each camera. In this example, “1” indicates that filtering is performed, and “0” indicates that filtering is not performed.
[0102]
For convenience of explanation, all these cameras can shoot only the VGA size, that is, the size of the input image to the printer is only the VGA size. Further, it is assumed that there is noise in the output of the camera A, and only the image of the camera A needs to be filtered in order to remove noise from the Y (luminance) signal. Further, it is assumed that the camera B has a characteristic that an image is easily blurred. The ideal conversion formula from YCbCr signal to RGB signal for each camera A, B, C is:
For cameras A and C,
R = Y + 1.402 * Cr
G = Y−0.344 * Cb−0.714 * Cr
B = Y + 1.772 * Cb (1)
For camera B,
R = Y + Cr
G = Y−0.508 * Cr−0.1864 * Cb
B = Y + Cb (2)
Suppose that
[0103]
FIG. 4B is a table showing edge enhancement coefficients for the cameras A, B, and C. Each element of the edge enhancement coefficient shown in the table of FIG. 3 is for dots a, b, and c shown in FIG. 3B in order from the left. These coefficients are a little stronger because the camera A needs to perform low-pass filter processing, the camera B is a stronger coefficient because the received image tends to be blurred, and the camera C has almost no problem with the printer. Since it has no characteristics, it is set as a coefficient that does not emphasize edge too much. In this example, for convenience of explanation, the output image size of the printer is only VGA size. That is, it is assumed that enlargement / reduction processing is not necessary.
[0104]
FIG. 19 is a flowchart of processing selectively performed corresponding to each camera model in the fifth embodiment based on various data set as described above. As shown in the flowchart of FIG. 6, when the print start key 5 is input (step S120), the CPU 4 of the image processing apparatus 1 starts communication with the connected camera 3 (step S121). Then, a command for requesting the product code is transmitted to the camera 3 (step S122). As a result, the product code is transmitted from the camera 3 to the printer, and the printer receives it and stores it in, for example, a register built in the CPU 4 (step S123). The product code is a unique value for each camera model, and the CPU 4 can recognize the model of the camera 3 connected to the product code.
[0105]
Subsequently, image data to be printed is received from the camera 3 (step S124). When the image data is received, the CPU 4 first decompresses the received data and stores it in the work memory 7 (step S125). Then, referring to the acquired product code, it is determined whether or not the camera 3 is a model that requires filtering (camera A in this example) (step S126). If the model of the camera 3 is the camera A, noise removal filtering is performed on the Y (luminance) signal generated by the expansion (step S127). A low-pass filter is used for this process. Further, when this filtering is performed, it is performed on the work memory 7 and the result is stored by overwriting the data before filtering.
[0106]
Next, the product code already acquired is referred again, and it is determined whether or not the model of the camera 3 is the camera B (step S128). If the model of the camera 3 is not the camera A in step S126 (N in S126), the process immediately proceeds to step S128.
[0107]
If it is camera B (S128 is Y), the YCbCr signal is converted into an RGB signal using the above-described equation (2) (step S129). If the model is not the camera B (S128 is N), the YCbCr signal is converted into an RGB signal using the above-described equation (1) (step S130). Thereby, an appropriate “YCbCr → RGB” conversion suitable for the characteristics of the connected camera is executed. This RGB signal (data) is also stored in the work memory 7.
[0108]
Following the above processing, color conversion processing is performed, and this data is stored in the printing memory 8 (step S131). Then, edge enhancement processing is performed on all the image data (image data for one screen) in the printing memory 8 (step S132). The edge enhancement coefficient used for the edge enhancement processing is read from the table indicating the edge enhancement coefficient for each of the cameras A, B, and C in FIG. Then, after the edge enhancement process is finished, printing is executed (step S133).
[0109]
In the fifth embodiment, the processing changed depending on the connected camera model is filtering to Y (luminance) signal, YCbCr → RGB conversion formula, and edge enhancement processing. Similarly, the filtering and color conversion processing may be performed by classifying models by product code.
[0110]
Furthermore, if processing corresponding to the size of the output image described in the first to fourth embodiments is performed among the processing performed for each camera model, the edge enhancement processing is further optimized. Can be done.
[0111]
Also, when a camera other than a registered camera is connected, it is determined that the camera is a new model, and the image processing table data is sent from the camera side to, for example, an EPROM prepared on the printer side. It is preferable to perform writing and to perform the above-described processing using this data on the printer side.
[0112]
Further, the processing may be changed according to the compression format of the input image instead of changing the processing according to the product code. Since the compressed data header includes an identification code in each compression format, the processing may be changed according to the identification code.
[0113]
【The invention's effect】
As explained in detail above, according to the present invention,Since edge enhancement processing is selectively performed for each of multiple image areas in one screen, edge enhancement processing adapted to the size of each image can be performed even when images of different sizes are mixed in one screen. Therefore, it is possible to print a mixed image in which the contour of the image is balanced as a whole.
[0114]
In addition to size information and write address information, the table includes rotation presence / absence information, so that even when the processed image is rotated, correct edge enhancement processing can be performed simply by replacing the size and edge enhancement coefficient. Therefore, it is possible to provide an image processing apparatus that is inexpensive and rich in edge enhancement processing functions.
[0115]
In addition, since the edge enhancement coefficient is fixed in one-to-one correspondence with the size of the input image, the edge enhancement coefficient can be limited to a number corresponding to the type of the size of the input image. Therefore, it is possible to perform appropriate edge enhancement processing even if the output image sizes are mixed in different sizes. Therefore, the capacity of the ROM for the edge enhancement coefficient can be reduced and reduced. It is economical to set an appropriate edge enhancement coefficient with a large amount of work.
[0116]
Further, according to the present invention, when the rotation of the image to be processed is recognized by the rotation presence / absence information, the edge emphasis coefficient set corresponding to the orientation of the image is converted and used according to the rotation of the image. As a result, an optimum edge enhancement process according to the rotation of the image can be performed.
[Brief description of the drawings]
FIG. 1 is a block diagram illustrating a configuration of an image processing apparatus according to a first embodiment.
2A and 2B are diagrams showing the size of an input image of a camera used as an external device in the first embodiment, and FIG. 2C is a diagram showing the resolution of a print image.
3A is a diagram showing an example of an edge enhancement coefficient table (edge processing table) used in the first embodiment, and FIG. 3B, FIG. 3C, and FIG. FIG.
FIG. 4 is a flowchart showing processing operations performed by the CPU of the image processing apparatus in the configuration according to the first embodiment;
5A and 5B are diagrams showing two examples of a print screen for mini label printing. FIG.
FIG. 6 is a diagram showing an example of an edge enhancement coefficient table that can be applied to mini-label printing.
FIG. 7 is a main flowchart of edge emphasis processing that can cope with mini-label printing in the first embodiment;
FIGS. 8A and 8B are sub-flowcharts of edge enhancement processing corresponding to mini-label printing in the first embodiment.
9A is a diagram showing an example of an output image processed in the second embodiment, and FIG. 9B is a relationship between an image area number of each image of the screen configuration and an address on a printing memory. FIG. 6C is a table (area table) showing the correspondence between the image area numbers and the size information and write start address information of each image written in the image area.
FIG. 10 is a flowchart of processing of an output image in which images of different sizes are mixed on one screen in the second embodiment.
FIGS. 11A and 11B are diagrams showing a state in which images are rotated with respect to each other in the third embodiment, and FIGS. 11C and 11D correspond to the images of FIGS. It is a figure which shows an edge emphasis coefficient.
12A is a diagram showing an example of the size and write address of a rotated image in the third embodiment, FIG. 12B is a diagram showing an example of a rotated data table of an output image, and FIG. It is a figure which shows the example of an edge process table when the up-and-down and right-and-left edge emphasis coefficient of a dot differs.
FIG. 13 is a flowchart of processing of a rotated output image having different edge enhancement coefficients in the vertical and horizontal directions according to the third embodiment.
FIG. 14 is a diagram showing eight examples of output image sizes for reference in the fourth embodiment.
FIGS. 15A and 15B are diagrams showing examples of image arrangements of different sizes in the fourth embodiment, FIG. 15B is a diagram showing an example of an area table corresponding to the image arrangements, and FIG. 15C is size information; It is a figure which shows the example of the table which shows the actual size corresponding to.
FIG. 16 is a table for determining whether or not edge enhancement processing is possible for each size of an output image in the fourth embodiment.
FIG. 17 is a flowchart of processing for selectively performing edge enhancement processing according to the size of an output image in the fourth embodiment.
FIG. 18A is a diagram showing a fill table corresponding to the model of a camera connected to a printer in the fifth embodiment, and FIG. 18B is a table showing an edge enhancement coefficient for each camera.
FIG. 19 is a flowchart of processing selectively performed corresponding to each turtle model according to the fifth embodiment;
FIG. 20 is a flowchart illustrating an operation of camera image printing processing by a conventional printer.
FIGS. 21A and 21B are diagrams showing tables used in conventional camera image printing processing, and FIGS. 21C and 21D are image sizes and printing memories specified by these tables. It is a figure which shows the upper address typically.
[Explanation of symbols]
1 Image processing device
2 Print control circuit
3 Digital camera (camera)
4 CPU
5 Print start key
6 Data memory
7 Work memory
8 Print memory
9 ROM
P11, P12 Pixel of interest
10 Coefficient table for mini label printing
11-16 Coefficient sequence
21 Rotation image
22, 25, 26 Output image
23, 27, 29 Write address location
24, 28, 31 Size table data field

Claims (8)

An edge processing table indicating the degree of edge enhancement for edge enhancement processing of input image data for one screen from an external device to create output image data;
An image area table that associates reference coordinate information and size information for each of a plurality of image areas existing in one screen;
A memory for storing the edge processing table and the image area table,
An image processing unit that performs different edge enhancement processing on image regions of different sizes existing in one screen based on the edge processing table and the image region table read from the memory;
An image processing apparatus comprising: The image area table further includes rotation presence / absence information for each image area, and when the image processing unit recognizes that the image of the processing area selected by the image area table is rotated, the image processing apparatus according to claim 1, wherein the performing the corresponding edge enhancement processing. Wherein the edge processing table, the processing and the edge enhancement coefficient is set in advance with respect to the image at the time of storing one image in a predetermined memory area of the landscape or portrait orientation in order to perform at the image processing unit, the When the orientation of the image stored horizontally or vertically in the predetermined memory area is different from the orientation of the corresponding image in the edge processing table, the upper and lower values of the edge enhancement factor are the replacement value, the image processing apparatus according to claim 1, wherein the use interchanging the size of the size and the x-direction in the y direction obtained from the size information. The edge processing table includes a coefficient sequence that corresponds to the size of an input image on a one-to-one basis, and the image processing unit includes an edge enhancement processing availability table that indicates whether or not to perform edge enhancement processing according to an output image. the image processing apparatus according to claim 1 to 3, wherein the to perform or not perform edge enhancement processing to the output image by said edge processing table and the edge enhancement processing propriety table. The edge processing table, the image processing apparatus of claims 1, characterized in that it is configured with a coefficient sequence that corresponds to each type of the external device 4 according. The image processing unit further includes a memory area for storing coefficient data for image processing transmitted from the external device, and the edge enhancement is performed when the coefficient data for image processing transmitted from the external device is transmitted. the image processing apparatus according to claim 1 to 5, wherein the coefficient of each table and performing the processing by replacing said transmission coefficient processing image processing before performs by using the coefficient data in which the transmitted. The size information of the image to be processed, the edge enhancement coefficient set in advance corresponding to the predetermined orientation of the image when the image is stored in the predetermined memory area to be processed, and the predetermined memory area A memory for storing rotation information of the image to be processed;
When the rotation of the image to be processed is recognized by the rotation presence / absence information stored in the memory, the edge corresponding to the rotated image is converted by using the edge enhancement coefficient and the size information according to the rotation of the image. An image processing unit for performing enhancement processing ;
An image processing apparatus comprising: The edge enhancement coefficient indicates the degree of edge enhancement for an image when the image is stored in the predetermined memory area in either landscape or portrait orientation, and the image processing unit When the orientation of the image stored in the portrait orientation is different from the orientation of the image corresponding to the edge enhancement coefficient, the upper and lower values and the left and right values of the edge enhancement coefficient are exchanged, and y obtained from the size information 8. The image processing apparatus according to claim 7, wherein the size in the direction and the size in the x direction are used interchangeably.

Images