JP4057610B2 - Encoding / decoding system and encoding / decoding method - Google Patents

Description

The present invention relates to an encoding / decoding system and an encoding / decoding method .

  Increasing the resolution and multi-gradation of an image is an effective means for forming a high-quality image in a digital image forming apparatus (hereinafter simply referred to as an image forming apparatus). However, increasing the resolution and multi-gradation of an image accompanies an increase in the amount of information. For example, an image represented by 256 gradations of black and white has an information amount eight times that of an image represented by two gradations of monochrome.

  As the amount of information increases with the increase in image quality, the processing time becomes longer, and a larger capacity memory is required for storing information. For this reason, the image forming apparatus encodes and compresses information representing an image. There are two types of encoding, lossless encoding and lossy encoding. Lossless encoding is advantageous for improving image quality in that the amount of information does not change before and after encoding. On the other hand, lossy encoding can obtain a higher compression rate than lossless encoding although loss of information amount occurs before and after encoding.

  Coding and compression using the JPEG (Joint Photographic Expert Group) method, which is generally used at present, is a type of lossy coding that combines discrete cosine transform and Huffman coding, with relatively poor image quality degradation. A small and high compression ratio can be obtained. In the discrete cosine transform, it is known that a higher compression ratio can be obtained as the difference between the value of each pixel constituting the image and the average value of the pixel values is uniform.

  However, in recent years, image forming apparatuses are increasingly required to improve image quality, and for this purpose, it is necessary to further compress information. However, in irreversible encoding, increasing the compression rate of information degrades image quality (change in image quality due to loss of original image information). When the compression rate is increased over a certain range, the image quality is significantly deteriorated.

  In addition, information encoding in an image forming apparatus is known in which an image is divided into predetermined small areas (blocks) and encoding is performed for each block. When an image is encoded for each block, the larger the block size, the higher the encoding processing efficiency, and the encoding can be completed in a short time. In addition, it is possible to form a high-quality image closer to the original image when the block size is smaller. For this reason, there is a demand for a technique for determining an optimum block size when encoding is performed.

  Furthermore, when an image encoded for each block is decoded, there is a possibility that an image density difference occurs at a block boundary in the reproduced image. The density difference of the image generated at the block boundary is also referred to as block distortion, and is one of the factors that degrade the image quality.

The present invention has been made to solve the above-mentioned problems, and its first object is to obtain a high-quality image free from block distortion when an image encoded for each block is reproduced. It is to provide an encoding / decoding system and an encoding / decoding method capable of performing the above.

In order to solve the above-described problems and achieve the object, an invention according to claim 1 is an encoding / decoding system including an encoding device and a decoding device, wherein the encoding device is configured to display an image for each predetermined region. A pixel block creating unit that divides and creates a pixel block composed of a plurality of pixels, and a difference indicating a difference between a maximum value and a minimum value of pixels included in the pixel block created by the pixel block creating unit A determination unit that determines a magnitude relationship between a value and a predetermined value, and pixel blocks for which the determination unit determines that the difference value is greater than the predetermined value are continuously generated a predetermined number of times or more. In this case, the pixel block area divided by the pixel block creating means is reduced and changed, and the difference block is judged to be smaller than the predetermined value by the judging means A pixel block size changing means for enlarging and changing the area of the pixel block divided by the pixel block creating means when the pixel block has been continuously generated a predetermined number of times or more, and a pixel changed by the pixel block size changing means Reference value setting means for setting a reference value based on the value of a pixel included in the block; pixel group setting means for setting a pixel group in the pixel block according to the reference value set by the reference value setting means; Allocating means for allocating an average value of pixels in the pixel group for each pixel group set by the pixel group setting means to the pixels included in the pixel block, and the decoding apparatus includes the encoding apparatus decoding means for decoding the image encoded by the pixel block by, the The decoding by No. means, having a noise component adding means for selectively adding a noise component generated based on a random number on the image of the pixel block, and is characterized in.

According to the first aspect of the present invention, an image having a high compression rate and little image quality deterioration is encoded, and a noise component is added to the decoded image when decoding an image encoded in units of pixel blocks. can do.

According to a second aspect of the present invention, there is provided a pixel block creating step for dividing an image into predetermined regions and creating a pixel block composed of a plurality of pixels, and the pixel block created by the pixel block creating step. Determining a difference between a predetermined value and a difference value indicating a difference between a maximum value and a minimum value of pixels included in the pixel, and determining that the difference value is greater than the predetermined value by the determining step When the generated pixel block is continuously generated for a predetermined number of times or more, the area of the pixel block divided by the pixel block creating step is reduced and the difference value is determined by the determination means from the predetermined value. When the pixel block determined to be small is continuously generated for a predetermined number of times or more, the area of the pixel block divided by the pixel block creation process is expanded. The pixel block size changing step to be further changed, the reference value setting step for setting a reference value based on the value of the pixel included in the pixel block changed by the pixel block size changing step, and the reference value setting step A pixel group setting step for setting a pixel group in the pixel block according to the reference value; and for each pixel group set in the pixel group setting step for each pixel included in the pixel block, An assigning step of assigning an average value , a decoding step of decoding the encoded image in units of pixel blocks to which an average value of pixels is assigned by the assigning step, and decoding in the decoding step, A noise component generated based on random numbers is selectively added to an image in pixel block units. A sound component addition step and is characterized in that it comprises a.

According to the second aspect of the present invention, an image having a high compression rate and little image quality deterioration is encoded, and a noise component is added to the decoded image when the image encoded in pixel block units is decoded. can do.

According to the first aspect of the present invention, the image is encoded with a high compression ratio, the image quality is less deteriorated, and a noise component is added to the decoded image to prevent occurrence of block distortion in the reproduced image. There is an effect that can be.

According to the second aspect of the present invention , the compression rate is high in image encoding , image quality deterioration is reduced, and a noise component is added to the decoded image, thereby causing block distortion in the reproduced image. There is an effect that can be prevented.

Exemplary embodiments 1 to 5 of an encoding / decoding system and encoding / decoding method according to the present invention will be described below in detail with reference to the accompanying drawings.

(Embodiment 1)
FIG. 1 is a diagram common to the first to fourth embodiments of the present invention, and is a block diagram showing an example in which the encoding apparatus of the present invention is provided in a facsimile apparatus. The illustrated facsimile apparatus includes a function on the transmission side (simply referred to as a transmission side in the figure) for transmitting data (image data) created based on an image to the other facsimile apparatus, and data transmitted by the other facsimile apparatus. It has a function on the receiving side for receiving and outputting as an image (simply referred to as the receiving side in the figure).

  In the configuration illustrated in FIG. 1, for example, an image reading unit 101 that reads an image using a CCD (Charged Coupled Device) image sensor, and an image processing unit 102 that performs processing on the image read by the image reading unit 101 to obtain transmission data. The encoding device 103 that encodes transmission data is configured to perform the function of the transmission side. Also, a decoding device 104 that decodes image data transmitted by another facsimile device, an image processing unit 105 that processes the image data decoded by the decoding device 104 to make printable data, and outputs printable data. The image output unit 106 such as a printer is configured to perform the function of the receiving side. Note that communication between the facsimile apparatus of FIG. 1 and other facsimile apparatuses is performed via a transmission path 107.

  The image processing unit 102 and the image processing unit 105 perform image processing such as resolution conversion and size conversion on binary image data, and perform color conversion, resolution conversion, size conversion, etc. on multi-value image data. Apply image processing. The decoding device 104 will be described in the fifth embodiment.

  FIG. 2 is a diagram common to the first to fourth embodiments of the present invention, and is a block diagram for explaining the encoding device of the present invention. FIG. 3 is a block diagram for explaining the encoding unit shown in FIG.

  The encoding device 103 of the present invention is an encoding device that encodes an image represented by multi-valued pixels, and divides the image into predetermined regions to create a pixel block composed of a plurality of pixels. A block dividing unit 201 that encodes pixels included in the pixel block, and an encoding unit 202 that encodes pixels included in the pixel block.

  As shown in FIG. 3, the encoding unit 202 includes a CPU 301, a ROM (Read Only Memory) 302, a RAM (Read Access Memory) 303, and an encoding / compression processing unit 304. The CPU 301 sets a reference value based on the value of a pixel included in the pixel block (in this embodiment, it is an electric signal representing the density of the pixel), and the CPU 301 sets the reference value in the pixel block according to the set reference value. Set the pixel group. Then, equal values are assigned to the pixels included in the pixel block for each set pixel group. The encoding / compression processing unit 304 compresses the pixels assigned values by the CPU 301 by a well-known JPEG method. The ROM 302 stores a program for processing performed by the CPU 301 and necessary numerical values. The RAM 303 is used as a working area for processing performed by the CPU 301.

  When binary image data is input to the encoding device 103, the binary image data is input to the encoding / compression processing unit 304 without being processed by the CPU 301. For example, compression is performed by a well-known MMR method.

  Next, the operation of the first embodiment of the encoding device will be described. When the multi-valued image data (multi-valued data) is input, the encoding device 103 divides the multi-valued data by the block dividing unit 201, thereby, for example, a pixel block (4 pixels arranged four by four vertically and horizontally). X4 blocks).

  CPU301 inputs a pixel for every pixel block from the block division part 201, and detects the value of each pixel contained in a pixel block. Then, the maximum value and the minimum value of the pixel values included in each pixel block are obtained, and the threshold value is determined based on the maximum value and the minimum value. Further, the CPU 301 selects pixels included in the pixel block based on the threshold value, and a pixel group (G-high) having a value equal to or higher than the threshold value and a pixel group (G-low) having a value equal to or lower than the threshold value. ) And two pixel groups are created. In the embodiment of the present invention, the maximum value and the minimum value are added, and a value obtained by dividing the added value by 2 is set as a threshold value.

  Further, the CPU 301 calculates an average value for each of G-high and G-low. When the average value of pixels included in G-high is A-high and the average value of pixels included in G-low is A-low, the CPU 301 applies A-high to all of the pixels classified as G-high. assign. Also, A-low is assigned to all of the pixels classified as G-low. A pixel to which A-high is assigned is indicated by 1 for example, and a pixel to which A-low is assigned is indicated by 0 for example, thereby generating the code string shown in FIG.

  The code string shown in FIG. 4 indicates A-high and A-low values at the beginning, and indicates 1 or 0 in the subsequent code bits. The relationship between A-high and A-low and 1 and 0 is not limited to the relationship shown in FIG. 4 and may be reversed. In addition, the positions of A-high and A-low in the code string are not limited to the top, and may be anywhere in the code string.

  According to the above operation, the pixel included in each pixel block can take only two types of A-high and A-low. For this reason, the values of all the pixels in the pixel block can be represented by two average values of A-high and A-low, and a high compression rate can be obtained at the time of compression by the JPEG method or the like.

  In general, pixel values of an image divided into relatively small areas can be approximated by representative values of 1 and 2. For example, when the image is a continuous tone image such as a photograph, the difference in pixel values within the pixel block is relatively small. For this reason, the value of the pixel in a pixel block can be approximated by the average value of the whole pixel. Further, when the image is a character image representing a character, the value of the pixel can be approximated to either the value of the edge portion or the value of the background portion. From this, it can be said that the first embodiment that approximates the pixels in the pixel block with two average values of A-high and A-low has little influence on the image quality.

  In the first embodiment, a threshold value is set for each pixel value included in each pixel block, and the threshold value corresponding to the image of each pixel block is set by approximating the pixel block to two values. Can be set. Then, by determining an average value (A-high, A-low) according to the threshold value, an average value appropriate for representing an image can be assigned to each pixel.

  FIG. 5 is a flowchart for explaining the encoding method according to the first embodiment. Note that the flowchart of FIG. 5 shows processing performed by the CPU 301 of the encoding unit 202.

The CPU 301 inputs a pixel block (simply referred to as a block in the figure), and obtains the maximum value (max) and the minimum value (min) of the pixels included in the pixel block (step S501). Then, the threshold th is
th = (max + min) / 2
(Step S502).

  Next, the CPU 301 calculates an average value A-high of the values of pixels having a value equal to or greater than the threshold th among the pixels included in the pixel block (step S503). Similarly, an average value A-low of the values of pixels having a value equal to or smaller than the threshold th is calculated (step S504).

  Next, the CPU 301 determines whether each pixel included in the pixel block has a value greater than or equal to the threshold th (step S505). If it is determined that the pixel has a value equal to or greater than the threshold th (step S505: Yes), code = 1 is assigned (step S506). If it is determined that the pixel has a value equal to or smaller than the threshold th (step S505: No), code = 0 is assigned (step S507).

  By the processing in steps S503 and S504, the code bits of the code string shown in FIG. 4 can be recorded for one pixel block. Further, the A-high value calculated in step S503 and the A-low value calculated in step S504 are attached, and the code string shown in FIG. 4 is created.

  Next, the CPU 301 determines whether or not the input of data to be processed has been completed, that is, whether or not the input of all pixel blocks created by the block dividing unit 201 has been completed (step S508). If it is determined that the data input has been completed (step S508: Yes), the process is terminated. If it is determined in step S508 that data input has not ended (step S508: No), the maximum value and minimum value of the next input pixel block are obtained (step S501).

  In the first embodiment described above, the pixels included in the pixel block are grouped to set a pixel group, and by assigning an equal value to the pixels included in each pixel group, the values of the pixels in the pixel block are uniform. Can be. For this reason, the compression rate at the time of encoding in the encoding / compression processing unit 304 can be increased.

  Further, since the threshold value used as the grouping criterion is determined based on the maximum value and the minimum value of the pixels included in the pixel block, an appropriate threshold value can be set for each pixel block. Furthermore, by assigning an average value for each pixel group to the pixels grouped by the threshold value, an appropriate value can be assigned to the pixel for each pixel group, and thus for each pixel block. For this reason, Embodiment 1 can reduce deterioration of image quality.

(Embodiment 2)
The encoding apparatus according to the second embodiment has a configuration similar to that of the encoding apparatus according to the first embodiment shown in FIGS. For this reason, a part of illustration and description of the configuration of the encoding apparatus according to the second embodiment is omitted.

  In the encoding apparatus according to the second embodiment, the CPU 301 further determines whether or not the difference (maximum difference value) between the maximum value and the minimum value of the pixels included in the pixel block is smaller than a predetermined value. When it is determined that the maximum difference value is smaller than a predetermined value, the entire pixel block is set to one pixel group, and the average value of the values of the pixels included in the pixel block with respect to the pixels included in the pixel block Assign.

  Next, the operation of the coding apparatus according to the second embodiment will be described. When the multi-value data is input, the encoding device 103 divides the multi-value data by the block dividing unit 201 in the same manner as in the first embodiment to create a 4 × 4 block.

  The CPU 301 obtains the maximum difference value of the pixel values included in each block, and compares the maximum difference value with a predetermined value (set value) stored in advance in the ROM 302, for example. When the maximum difference value is smaller than the set value, the CPU 301 calculates an average value of all the pixel values included in the pixel block, and assigns the calculated average value to all the pixels included in the pixel block.

  The encoding apparatus according to the second embodiment can make the values of the pixels in the pixel block the same by assigning one value called an average value to all of the pixels included in the pixel block. Further, by processing only the pixel block having a small maximum difference value of the pixel block, that is, a small difference in density of pixels included in the pixel block, it is possible to reduce image quality degradation due to encoding.

  FIG. 6 is a flowchart for explaining the encoding method according to the second embodiment. The CPU 301 inputs the pixel block and obtains the maximum value (max) and the minimum value (min) of the pixels included in the pixel block (step S601). Then, it is determined whether or not the difference between max and min, that is, the maximum difference value is greater than or equal to a set value (step S602). If the result of this determination is that the maximum difference value is not greater than or equal to the set value (step S602: No), the average value of all the pixels in the pixel block is calculated and assigned to all of the pixels included in the pixel block (step S610).

  On the other hand, if the result of determination in step S602 shows that the maximum difference value is greater than or equal to the set value (step S602: Yes), the encoding apparatus of the second embodiment is assumed to operate in the same manner as in the first embodiment. That is, the CPU 301 calculates the threshold value th (step S603). Then, among the pixels included in the pixel block, the average value A-high of the pixels having a value equal to or greater than the threshold th (step S604), and the average value A of the pixels having a value equal to or smaller than the threshold th. -Low is calculated (step S605).

  Next, the CPU 301 determines whether each pixel included in the pixel block has a value equal to or greater than the threshold th (step S606). Then, code = 1 is assigned to a pixel having a value equal to or greater than the threshold th (step S607), and code = 0 is assigned to a pixel having a value equal to or less than the threshold th (step S608). Note that the processing in steps S603 to S608 is referred to as a subroutine S, which will be described in an embodiment described later.

  Then, the CPU 301 determines whether or not input of data to be processed has been completed (step S609). If it is determined that the data input has been completed (step S609: Yes), the process is terminated. If it is determined in step S609 that the data input has not ended (step S609: No), the maximum value and the minimum value of the next input pixel block are obtained (step S601).

  According to the second embodiment described above, it is possible to make one pixel in the pixel block by assigning one average value to the pixels included in the pixel block. For this reason, the compression rate at the time of encoding can be raised further.

  In the second embodiment, the average value of the entire pixel block is assigned to the pixels included in the pixel block only in the pixel block whose maximum difference value is smaller than a predetermined value. For this reason, it is possible to prevent assignment of the average value of the entire pixels to the pixels included in the pixel block whose density change is relatively large, and to reduce deterioration in image quality due to encoding.

(Embodiment 3)
The encoding apparatus according to Embodiment 3 has the same configuration as that of the encoding apparatus according to Embodiment 1 previously shown in FIGS. For this reason, a part of illustration and description of the configuration of the encoding apparatus according to the third embodiment is omitted.

  In the encoding apparatus according to Embodiment 3, the CPU 301 determines whether or not the maximum difference value is smaller than a predetermined value. When it is determined that the maximum difference value is smaller than a predetermined value, the pixel block is subdivided to set a pixel group (the pixel group of Embodiment 3 is referred to as a small block) and is included in the small block An average value of assigned pixel values is assigned.

  Next, the operation of the coding apparatus according to Embodiment 3 will be described. When the multi-value data is input, the encoding device 103 divides the multi-value data by the block dividing unit 201 in the same manner as in the first embodiment to create a 4 × 4 block. The CPU 301 obtains the maximum difference value of the pixel values included in each block, and compares the maximum difference value with a set value stored in advance in the ROM 302, for example.

  As a result of the comparison, when the maximum difference value is smaller than a predetermined value, the CPU 301 re-divides the 4 × 4 block shown in FIG. 7A as shown in FIG. 7, for example, as shown in FIG. 7B. Four 2 × 2 blocks are set. Then, an average value of all the pixel values is calculated for each 2 × 2 block, and the calculated average value is assigned to all of the pixels included in each 2 × 2 block.

  With the above operation, the encoding apparatus of Embodiment 3 can make the density of the pixels in the pixel block uniform, and can increase the compression efficiency. Further, the pixel blocks are further grouped as small blocks, and the average value of each small block is assigned to the pixels of the small blocks, thereby further preventing image quality deterioration.

  FIG. 8 is a flowchart for explaining the encoding method of the third embodiment. The CPU 301 inputs a pixel block of 4 × 4 blocks, and obtains the maximum value (max) and the minimum value (min) of the pixels included in the pixel block (step S801). Then, it is determined whether or not the difference between max and min, that is, the maximum difference value is greater than or equal to a set value (step S802).

  If the result of determination in step S802 is that the maximum difference value is not greater than or equal to the set value (step S802: No), the pixel block of 4 × 4 blocks is subdivided to set a small block of 2 × 2 blocks (step S804). Then, the average value of the pixels included in each small block is assigned to all the pixels in each set small block (step S805).

  On the other hand, if the result of determination in step S802 is that the maximum difference value is greater than or equal to the set value (step S802: Yes), the encoding apparatus of the third embodiment executes the subroutine S as in the first and second embodiments. (Step S803). Thereafter, the CPU 301 determines whether or not input of data to be processed has been completed (step S806). If it is determined that the data input has been completed (step S806: Yes), the process is terminated. If it is determined in step S806 that the data input has not ended (step S806: No), the maximum value and the minimum value of the next input pixel block are obtained (step S801).

  According to Embodiment 3 described above, the pixel block can be subdivided into small blocks, and the average value of each small block can be assigned to the pixels included in the small block. For this reason, an average value in a smaller pixel block can be assigned to the pixels, and a high-quality image can be formed.

  In the third embodiment, the average value of the entire small block is assigned to the pixels included in the small block only in the pixel block whose maximum difference value is smaller than a predetermined value. For this reason, it is possible to prevent the average value of the entire small block from being assigned to the pixels included in the pixel block whose density change is relatively large, and to reduce deterioration in image quality due to encoding.

(Embodiment 4)
The encoding apparatus according to the fourth embodiment has the same configuration as that of the encoding apparatus according to the first embodiment shown in FIGS. For this reason, a part of illustration and description of the configuration of the encoding apparatus according to the fourth embodiment is omitted.

  In the encoding apparatus according to the fourth embodiment, the CPU 301 further determines the magnitude of the maximum difference value and the predetermined value for each pixel block. Then, when a predetermined number or more of pixel blocks whose maximum difference value is determined to be larger than the predetermined value are continuously generated, the block dividing unit 201 is instructed to reduce and change the area into which the image is divided. On the other hand, when a predetermined number or more of pixel blocks whose maximum difference value is determined to be smaller than a predetermined value are continuously generated, the block dividing unit 201 is instructed to enlarge and change the area into which the image is divided. .

  Next, the operation of the coding apparatus according to Embodiment 4 will be described. When the multi-value data is input, the encoding device 103 divides the multi-value data by the block dividing unit 201 in the same manner as in the first embodiment to create a 4 × 4 block. The CPU 301 obtains the maximum difference value of the pixel values included in each block, and compares the maximum difference value with a set value stored in advance in the ROM 302, for example.

  The CPU 301 stores the number of times that the maximum difference value is determined to be larger than the set value and the number of times that the maximum difference value is determined to be smaller than the set value, for example, in the RAM 303. Then, the stored number of times is compared with a set number of times stored in advance in the ROM 302, for example. If the number of times that the maximum difference value is determined to be larger than the set value exceeds the set number as a result of the comparison, the CPU 301 instructs the block dividing unit 201 to reduce the area for dividing the image and reduce the pixel block. change. Further, when the number of times that the maximum difference value is determined to be smaller than the set value exceeds the set number, the CPU 301 instructs the block dividing unit 201 to enlarge the area to divide the image to enlarge and change the pixel block. .

  Consecutive pixel blocks having a small maximum difference value means that the encoding apparatus is processing an area where the density change of the image is small (for example, a background area). A region where pixel blocks having a small change in density are continuous has little deterioration in image quality even when a larger region is encoded as a pixel block at one time. For this reason, the encoding apparatus according to the fourth embodiment increases the compression rate at the time of encoding by enlarging and changing the pixel block in an area where the density change of the image is small.

  On the other hand, the continuous pixel blocks having a large maximum difference value means that the encoding apparatus is processing an area where the density change of the image is large (for example, an area where characters and line drawings are present). In a region where pixel blocks having a large density change are continuous, if a large region is encoded as a pixel block at a time, a lack of information is large and there is a concern about deterioration of image quality. For this reason, the encoding apparatus according to the fourth embodiment suppresses deterioration in image quality due to the encoding process by reducing and changing the pixel block in an area where the density change of the image is small.

  Note that a lower limit and an upper limit are set in advance for the size of the pixel block to be enlarged or reduced. The lower limit and the upper limit of the pixel block are set in consideration of image quality deterioration due to the pixel block being too large and code amount increase due to the pixel block being too small.

  FIG. 9 is a flowchart for explaining an encoding method according to the fourth embodiment. The CPU 301 inputs a pixel block of 4 × 4 blocks, and obtains the maximum value (max) and the minimum value (min) of the pixels included in the pixel block (step S901). Then, it is determined whether or not the difference between max and min, that is, the maximum difference value is greater than or equal to a set value (step S902).

  If the result of determination in step S902 is that the maximum difference value is not greater than or equal to the set value (step S902: No), the CPU 301 counts up one counter B that counts pixel blocks having the maximum difference value that is less than or equal to the set value (step S902). S908). Then, it is determined whether or not the counter B is equal to or greater than the set number of times (step S909). If the counter B is equal to or greater than the set number of times (step S909: Yes), the block dividing unit 201 is instructed to enlarge the pixel block. Change (step S910). Then, the enlarged and changed pixel block is input from the block dividing unit 201 and processed by the subroutine S (step S906).

  On the other hand, if the result of determination in step S902 is that the maximum difference value is greater than or equal to the set value (step S902: Yes), the CPU 301 counts one counter A that counts pixel blocks having the maximum difference value greater than or equal to the set value. Up (step S903). Then, it is determined whether or not the counter A is equal to or greater than the set number of times (step S904). If the counter A is equal to or greater than the set number of times (step S904: Yes), the block dividing unit 201 is instructed to reduce the pixel block. Change (step S905). Then, the reduced and changed pixel block is input from the block dividing unit 201 and processed by the subroutine S (step S906).

  Next, the CPU 301 determines whether or not input of data to be processed has been completed (step S907). If it is determined that the data input has been completed (step S907: Yes), the counter A and the counter B are reset and the process is terminated (step S911). If it is determined in step S907 that data input has not ended (step S907: No), the maximum value and minimum value of the next input pixel block are obtained (step S901).

  According to the fourth embodiment described above, it is possible to recognize that the image portion has a large density change by continuously generating a predetermined number or more of pixel blocks having a maximum difference value larger than the predetermined value. . At this time, the information of the image portion can be prevented from being lost by reducing the pixel block.

  Further, according to the fourth embodiment, it is possible to recognize that the density change of the image portion is small by continuously generating a predetermined number or more of pixel blocks having a maximum difference value smaller than the predetermined value. At this time, by enlarging the pixel block, the range in which the pixel values become uniform can be expanded, and the compression rate at the time of encoding can be increased and the processing efficiency of encoding can be increased.

  The encoding methods described in Embodiments 1 to 4 can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, floppy disk, CD-ROM, MO, and DVD, and is executed by being read from the recording medium by the computer. The program can be distributed as a transmission medium or via the recording medium via a network such as the Internet.

(Embodiment 5)
FIG. 10 is a block diagram for explaining the decoding device 104. A decoding device 104 according to Embodiment 5 is a decoding device that decodes an image encoded by the encoding device 103, and includes a decoding unit 1001 that decodes the encoded image in units of pixel blocks, and a decoding unit 1001. And a noise component adding unit 1002 that selectively adds a noise component generated based on a random number to an image in pixel blocks.

  The image data encoded by the encoding device 103 is input to the decoding unit 1001 of the decoding device 1003. The decoding unit 1001 decodes the encoded data and outputs the decoded data to the noise component addition unit 1002. The noise component adding unit 1002 adds a noise component to the decoded image data as necessary, and outputs it to the image processing unit 105. Note that since the noise component adding unit 1002 itself is well-known, a description of its specific configuration and noise component adding method will be omitted.

  FIG. 11 is a flowchart for explaining a decoding method performed by decoding apparatus 104 of the fifth embodiment described above. According to the flowchart of FIG. 11, the decoding apparatus 104 determines whether or not the image data (encoded data) encoded by the encoding apparatus 103 has been input (step S1101). If it is determined that encoded data has been input (step S1101: Yes), the input encoded data is decoded through the reverse process of encoding (step S1102).

  Further, the decoding device 104 determines whether or not to add a noise component to the decoded image data based on, for example, a control signal added to the image data or by extracting a feature amount of the image data (step). S1103). If a noise component is added as a result of this determination (step S1103: Yes), after adding the noise component (step S1104), the decoded image is output to the image processing unit 105 (step S1105). If it is determined that no noise component is to be added (step S1103: No), the decoded image is output to the image processing unit 105 without adding the noise component (step S1105).

  Embodiment 5 demonstrated above adds a noise component to the decoded image as needed, when decoding the image encoded for every block. For this reason, block distortion in the reproduced image can be eliminated and a high-quality image can be formed.

  Further, the decoding method described in the fifth embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, floppy disk, CD-ROM, MO, and DVD, and is executed by being read from the recording medium by the computer. The program can be distributed as a transmission medium or via the recording medium via a network such as the Internet.

It is a block diagram which shows the example which provided the encoding apparatus of Embodiment 1-4 of this invention in the facsimile apparatus. It is a block diagram for demonstrating the encoding apparatus of Embodiment 1-4 of this invention. FIG. 3 is a block diagram for explaining an encoding unit shown in FIG. 2. It is a figure for demonstrating the code sequence produced in Embodiment 1 of this invention. It is a flowchart for demonstrating the encoding method of Embodiment 1 of this invention. It is a flowchart for demonstrating the encoding method of Embodiment 2 of this invention. It is a figure for demonstrating the process which subdivides a pixel block. It is a flowchart for demonstrating the encoding method of Embodiment 3 of this invention. It is a flowchart for demonstrating the encoding method of Embodiment 4 of this invention. It is a block diagram for demonstrating the decoding apparatus of Embodiment 5 of this invention. It is a flowchart for demonstrating the decoding method of Embodiment 5 of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 101 Image reading part 102 Image processing part 103 Coding apparatus 104 Decoding apparatus 105 Image processing part 106 Image output part 107 Transmission path 201 Block division part 202 Coding part 301 CPU
302 ROM
303 RAM
304 Coding / compression processing unit 1001 Decoding unit 1002 Noise component adding unit

Claims (2)

In an encoding / decoding system including an encoding device and a decoding device,
The encoding device includes:
Pixel block creating means for dividing an image into predetermined areas and creating a pixel block composed of a plurality of pixels;
Determination means for determining a magnitude relationship between a difference value indicating a difference between a maximum value and a minimum value of pixels included in the pixel block created by the pixel block creation means and a predetermined value;
When the pixel block for which the difference value is determined to be larger than the predetermined value by the determination means is continuously generated for a predetermined number of times, the area of the pixel block divided by the pixel block creation means is reduced. The pixel block divided by the pixel block creating means when the pixel block that has been changed and the difference value is determined to be smaller than the predetermined value is continuously generated for a predetermined number of times or more. Pixel block size changing means for enlarging and changing the area of
Reference value setting means for setting a reference value based on a value of a pixel included in the pixel block changed by the pixel block size changing means;
Pixel group setting means for setting a pixel group in the pixel block according to the reference value set by the reference value setting means;
Assigning means for assigning an average value of pixels in the pixel group for each pixel group set by the pixel group setting means to the pixels included in the pixel block;
The decoding device
Decoding means for decoding the image encoded by the encoding device in units of pixel blocks;
Noise component adding means for selectively adding a noise component generated based on a random number to the image in units of pixel blocks at the time of decoding by the decoding means ;
An encoding / decoding system characterized by the above. A pixel block creating step of dividing an image into predetermined regions and creating a pixel block composed of a plurality of pixels;
A determination step of determining a magnitude relationship between a difference value indicating a difference between a maximum value and a minimum value of pixels included in the pixel block created by the pixel block creation step, and a predetermined value;
When the pixel block for which the difference value is determined to be larger than the predetermined value by the determination step is continuously generated for a predetermined number of times or more, the area of the pixel block divided by the pixel block creation step is reduced. The pixel block divided by the pixel block creation step when the pixel block that has been changed and the difference value determined to be smaller than the predetermined value is continuously generated for a predetermined number of times or more A pixel block size changing step for enlarging and changing the area of
A reference value setting step for setting a reference value based on a value of a pixel included in the pixel block changed by the pixel block size changing step;
A pixel group setting step for setting a pixel group in the pixel block according to the reference value set by the reference value setting step;
An assigning step of assigning an average value of pixels in the pixel group for each pixel group set by the pixel group setting step to the pixels included in the pixel block;
A decoding step of decoding the encoded image in units of the pixel blocks to which an average value of pixels is assigned by the assignment step;
A noise component adding step of selectively adding a noise component generated based on a random number to the image of the pixel block unit at the time of decoding in the decoding step;
The encoding / decoding method characterized by including this.

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