KR20160072831A - Image processing system and providing method thereof - Google Patents

Abstract

Disclosed are an image processing system which performs pre-processing on a processing target image to increase image compression efficiency and performs a compression on the pre-processed processing target image, and a providing method thereof. According to an aspect of the present invention, the image processing system comprises: an acquisition module which acquires an attribute value of a conversion target pixel included in a processing target image and an attribute value of a preceding pixel of the conversion target pixel; a determination module which determines whether to convert the attribute value of the conversion target pixel based on the attribute value of the conversion target pixel and the attribute value of the preceding pixel; and a conversion module which, when the determination module determines to convert the attribute value of the conversion target pixel, converts the attribute value of the conversion target pixel into the attribute value of the preceding pixel, wherein, when the preceding pixel is a pixel whose attribute value is converted by the conversion module, the attribute value of the preceding pixel is an attribute value after conversion.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing system,

The present invention relates to an image processing system and a method of providing the same, and more particularly, to an image processing system that performs pre-processing on an image to be processed so as to enhance image compression efficiency, And a method of providing the image processing system.

Recently, as the quality of images has increased, the amount of data for representing one image data has become very large. As a result, it is difficult to store a large number of image data on a storage medium or image data is transmitted through a network There is a problem that a long transmission time is required.

Thus, in order to reduce network traffic and save storage space, the image data may be encoded (compressed) to reduce the amount of data associated with the image without significantly affecting the fidelity of the image.

Compression algorithms have been studied for a long time due to their importance, and the most typical compression algorithm is Run-Length compression. The run-length compression method is to record the number of consecutive bytes if they are repeated and the number of repetitions. However, the run-length compression method has a merit of having a simple implementation method, but the compression rate is not so good. In practice, the most widely used compression methods are the Huffman compression method and the Lempel-Ziv compression method.

The Huffman compression method compresses a file by redefining its representation as a small number of bits with a high frequency and a low number of bits with a low frequency.

The most representative methods of the Lempel-Ziv compression method are the static dictionary method and the dynamic dictionary method. The static dictionary method is a method of preliminarily creating a static table for a pattern that is expected to appear, compressing the static table by referring to the static table when the pattern is found, and the dynamic dictionary method is a method of reading a dictionary I make it. In other words, the reference to the pattern in the dynamic dictionary method is limited to the pattern already existing in the file before that. The dynamic dictionary method has a drawback in that it is slow in speed because it creates a burden to construct a dictionary while reading the file, but in many cases, the compression rate is good for an arbitrary file.

As described above, typical compression methods existing in the art use a frequency compression method, so that the more frequently similar patterns are repeated in the data, the higher the compression rate is.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is therefore an object of the present invention to provide a method and apparatus for performing a preprocessing process on a corresponding image so as to increase the probability of occurrence of a similar pattern in image data, So that the compression ratio can be improved.

According to an aspect of the present invention, there is provided an image processing apparatus including an acquisition module for acquiring an attribute value of a conversion target pixel included in an image to be processed and an attribute value of a preceding pixel of the conversion subject pixel, an attribute value of the conversion subject pixel, A determination module for determining whether to convert an attribute value of the conversion subject pixel based on the attribute value of the conversion subject pixel, and a determination module for determining whether to convert the attribute value of the conversion subject pixel, Wherein the attribute value of the preceding pixel is an attribute value after conversion if the preceding pixel is a pixel whose attribute value has been converted by the conversion module, / RTI >

In one embodiment, the attribute value of the pixel to be converted is the RGB value of the pixel to be converted, and the attribute value of the preceding pixel may be the RGB value of the preceding pixel.

In one embodiment, the determination module may determine that the attribute value of the pixel to be converted should be converted when the conversion condition including at least one of the following first to third conditions is satisfied.

(R_t는 상기 변환대상 픽셀의 R 값, R_p는 상기 선행 픽셀의 R 값, t_r은 소정의 제1임계 값)First condition:

(R _t is R the value of the converted pixel, R _p R is the value of the prior pixel, t _r is a predetermined first threshold value)

(G_t는 상기 변환대상 픽셀의 G 값, G_p는 상기 선행 픽셀의 G 값, t_g은 소정의 제2임계 값)Second condition:

(G _t is the G value of the pixel to be converted, G _p is the G value of the preceding pixel, and t _g is a predetermined second threshold value)

(B_t는 상기 변환대상 픽셀의 B 값, B_p는 상기 선행 픽셀의 B 값, t_b은 소정의 제3임계 값)Third condition:

(B _t is a B value of the pixel to be converted, B _p is a B value of the preceding pixel, and t _b is a predetermined third threshold value)

In one embodiment, the acquisition module may obtain an RGB value corresponding to a color index value included in pixel data of the conversion subject pixel from a color lookup table included in the image to be processed.

In one embodiment, the image processing system may further comprise a compression module for compressing the processed image including the pixels converted by the conversion module.

According to another aspect of the present invention, there is provided an image processing method comprising the steps of: acquiring an attribute value of a pixel to be converted included in an image to be processed and an attribute value of a preceding pixel of the pixel to be converted; A determination step of determining whether to convert the attribute value of the conversion target pixel based on the attribute value, and a determination step of determining whether to convert the attribute value of the conversion subject pixel, Wherein the attribute value of the preceding pixel is an attribute value after conversion if the preceding pixel is a pixel whose attribute value has been converted by the conversion module, / RTI >

In one embodiment, the attribute value of the pixel to be converted is the RGB value of the pixel to be converted, and the attribute value of the preceding pixel may be the RGB value of the preceding pixel.

In one embodiment, the determining step may include determining that the attribute value of the pixel to be converted should be converted when the conversion condition including at least one of the first condition to the third condition is satisfied .

In one embodiment, the obtaining step may include obtaining an RGB value corresponding to a color index value included in pixel data of the conversion subject pixel from a color reference table included in the image to be processed.

In one embodiment, the image processing system providing method may further include a compressing step of compressing the processed image including the pixels converted by the converting step.

According to another aspect of the present invention, there is provided a computer-readable recording medium recording a program for performing the above-described method.

According to another aspect of the present invention there is provided an image processing system comprising a processor and a memory storing a computer program executed by the processor, wherein the computer program, when executed by the processor, An image processing system is provided for causing the method described above to be performed.

According to the technical idea of the present invention, a preprocessing process for a corresponding image is performed so as to increase the probability of occurrence of a similar pattern in the image data at a stage before compressing the image data, and compression is performed on the image subjected to the preprocessing process The compression ratio can be remarkably improved.

BRIEF DESCRIPTION OF THE DRAWINGS A brief description of each drawing is provided to more fully understand the drawings recited in the description of the invention.
1 is a view briefly showing an operation performed by an image processing system according to an embodiment of the present invention.
2 is a block diagram showing a schematic configuration of an image processing system according to an embodiment of the present invention.
3 is a block diagram illustrating a detailed configuration of a pixel processing module according to an embodiment of the present invention.
4A is a view showing an example of a color reference table. FIG. 4B is a diagram showing the color reference table of FIG. 4A, Fig.
5 is a diagram for explaining how an attribute value of each pixel included in an image to be processed is transformed by an image processing system according to an embodiment of the present invention.
6 is a flowchart illustrating a method of providing an image processing system according to an embodiment of the present invention.

In order to fully understand the present invention, operational advantages of the present invention, and objects achieved by the practice of the present invention, reference should be made to the accompanying drawings and the accompanying drawings which illustrate preferred embodiments of the present invention.

Also, in this specification, when any one element 'transmits' data to another element, the element may transmit the data directly to the other element, or may be transmitted through at least one other element And may transmit the data to the other component.

Conversely, when one element 'directly transmits' data to another element, it means that the data is transmitted to the other element without passing through another element in the element.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to the preferred embodiments of the present invention with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements.

FIG. 1 is a view briefly showing operations performed by the image processing system 100 according to an embodiment of the present invention.

Referring to FIG. 1, the image processing system 100 may receive an image to be processed and perform pre-processing (S100). In the preprocessing process, the image processing system 100 converts attributes of at least some of the pixels included in the image to be processed so as to increase the likelihood of generating a similar pattern in the processed image (processed image) after the conversion .

The image to be processed may refer to the original image before encoding. The image to be processed includes, for example, a raw image, which is data processed to a minimum from an image sensor of a digital camera or an image scanner, and a plurality of points on the image in units of pixels using a rectangular coordinate system. May be a bitmap image.

On the other hand, when the preprocessing process (S100) is performed by the image processing system 100, a processed image may be generated, and the image processing system 100 compresses the processed image and outputs the compressed (encoded) An image can be generated (S200).

2 is a block diagram showing a schematic configuration of an image processing system 100 according to an embodiment of the present invention. Referring to FIG. 2, the image processing system 100 may include a pixel processing module 110, a control module 120, and a compression module 130.

3 is a block diagram showing a detailed configuration of the pixel processing module 110. Referring to FIG. Referring to FIG. 3, the pixel processing module 110 may include an acquisition module 111, a determination module 112, and a conversion module 113.

According to an embodiment of the present invention, some of the above-mentioned components may not necessarily correspond to the components necessary for the implementation of the present invention, It goes without saying that more components may be included.

The image processing system 100 may be implemented in a data processing device (e.g., a computer, a mobile terminal, etc.) and may include hardware provided in the data processing device and predetermined software codes defined to implement the concepts of the present invention May refer to an organically bonded configuration.

The image processing system 100 may include hardware resources and / or software necessary to implement the technical idea of the present invention, and the term " means one physical component " no. That is, the image processing system 100 may mean a logical combination of hardware and / or software provided to implement the technical idea of the present invention. If necessary, the image processing system 100 may be installed in a separate apparatus, The present invention may be embodied as a set of logical structures for realizing the technical idea of the present invention. Also, the image processing system 100 may mean a set of configurations separately implemented for each function or role for implementing the technical idea of the present invention. For example, the pixel processing module 110, the control module 120, the compression module 130, the acquisition module 111, the determination module 112, and the conversion module 113 may be located in different physical devices, Or may be located in the same physical device. In addition, depending on the implementation, each of the pixel processing module 110, the control module 120, the compression module 130, the acquisition module 111, the determination module 112, and / or the conversion module 113, The elements constituting the module may also be located in different physical devices, and elements located in different physical devices may be organically coupled to each other to realize the functions performed by the respective individual modules.

In this specification, a module may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, the module may mean a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and it does not necessarily mean a physically connected code or a kind of hardware. Can be easily deduced to the average expert in the field of < / RTI >

The control module 120 may include other components included in the image processing system 100 such as the compression module 130, the pixel processing module 110, the acquisition module 111, the determination module 112, , The conversion module 113, and the like).

The pixel processing module 110 may perform pixel processing for a specific conversion target pixel included in the processing target image under the control of the control module 120, Attributes may or may not be transformed. This will be described later in detail with reference to FIG.

Meanwhile, the control module 120 may control the pixel processing module 110 to perform pixel processing for each of a plurality of pixels included in the processing target image. That is, the control module 120 may control the pixel processing module 110 to process the pixel to be converted, using each of a plurality of pixels included in the image to be processed in turn as conversion target pixels.

The control module 120 performs the pixel processing for each pixel included in a specific row, and then performs pixel processing for each pixel included in the next row, starting from the first pixel row of the image to be processed, And the pixel processing can be performed in order from the first column in one row. Hereinafter, this processing method will be referred to as a row-first method.

According to an embodiment, the control module 120 may process pixels according to a thermal prioritization scheme. That is, the control module 120 performs a pixel process for each pixel included in a specific column, starting from the first pixel column of the image to be processed, and then performs pixel processing for each pixel included in the next column And the pixel processing may be performed in order from the first row in one column.

Hereinafter, the row-first method will be described as an example, but it will be understood by those skilled in the art that the technical idea of the present invention can be applied to the column-first method as well.

The pixel processing module 110 will now be described in more detail with reference mainly to FIG. 3, and with reference to FIGS. 4 (a) to 4 (b) As shown in FIG. 3, the pixel processing module 110 may include an acquisition module 111, a determination module 112, and a conversion module 113.

The acquisition module 111 may acquire an attribute value of a pixel to be converted and an attribute value of a preceding pixel of the pixel to be converted.

The preceding pixel of the conversion target pixel may mean a pixel processed immediately before the conversion target pixel. That is, the pixel process for the pixel to be converted may be performed after the pixel process for the preceding pixel is completed. Meanwhile, the pixel process for the pixel to be converted may be performed when a preceding pixel exists. Therefore, the pixel process may not be performed on the first pixel included in the image to be processed. Alternatively, the pixel process may be performed on the first pixel included in the image to be processed, but no conversion is performed on the attribute of the first pixel by the pixel process.

On the other hand, the preceding pixel of the first pixel of a particular row other than the first in the row-first manner may be the last pixel of the previous row. If j is not 0, if p (i, j) is a symbol representing a pixel in the i-th row and j-th column of the image to be processed, , j) may be p (i, j-1), and if j is 0, the preceding pixel of p (i, 0) may be p (i-1, n).

In the column-first approach, the leading pixel of the first pixel of a particular column, but not the first, may be the last pixel of the previous column.

The attribute of each pixel included in the processing target image as well as the conversion target pixel and the preceding pixel may be a color value of the corresponding pixel. The color value of each pixel may be, for example, a value expressed by an RGB color model, a YCbCr color model, a HIS color model, or a CMYK color model.

Hereinafter, an example is described in which the attribute of each pixel included in the image to be processed is the color value of the corresponding pixel, and in particular, the color value expressed by the RGB color model. However, It will be understood by those skilled in the art that the present invention can be similarly applied.

On the other hand, the manner in which the image to be processed expresses RGB values of each pixel may vary. For example, the image to be processed may represent an RGB color value of each pixel using a color lookup table. Such a method can be referred to as an index color mode in general. In the index color mode, the color reference table may previously store RGB values corresponding to the colors used in the processing target image, and each RGB value may be given a unique index. The pixel data of each pixel included in the processing target image may include an index value on the color reference table. 4A is a view showing an example of a color reference table. FIG. 4B is a diagram showing the color reference table of FIG. 4A, Fig.

Referring to FIG. 4A, the color reference table may store RGB values corresponding to color depths, and each RGB value may be given a unique index. For example, the RGB value corresponding to the index 0 may be < R ₀ , G ₀ , B ₀ &gt;. Meanwhile, although the color reference table of FIG. 4A shows an example having 2 ^{^ 8} (= 256) RGB color items, depending on the color depth of the image to be processed, It is of course possible to include color items.

Meanwhile, the image to be processed shown in FIG. 4 (b) is composed of n pixels in length and m pixels in length, and p (i, j) may be a pixel in the i-th row and j-th column. For example, since the pixel data of p (1,2) may contain the index value 1, the RGB value of p (1,2) may be smaller than < R ₁ , G ₁ , B ₁ &gt;.

If the processing target image expresses the color of each pixel in the index color mode, the acquiring module 111 acquires the index included in the pixel data of the conversion target pixel, and then acquires the color reference included in the processing target image You can obtain the RGB value corresponding to the index in the table. For example, when the pixel to be converted is p (3, 2), the acquisition module 111 confirms that the index of p (3, 2) is 2, R ₂ , G ₂ , B ₂ > can be obtained as the color values of p (3, 2).

As described above, the acquisition module 111 may also obtain RGB values for the preceding pixels of the pixel to be converted. If the pixel to be transformed is p (3, 2) and the control module 120 processes each pixel according to the row-first approach, the preceding pixel of the pixel p (3,2) Lt; / RTI &gt; Accordingly, the acquisition module 111 confirms that the index of the preceding pixel p (3, 1) is 1 and sets <R ₁ , G ₁ , B ₁ > corresponding to the item 1 of the color reference table to the preceding pixel p (3, 1).

On the other hand, when the preceding pixel is a pixel whose attribute value has been converted by the conversion module 113 described later, the attribute value of the preceding pixel may be an attribute value after conversion.

Meanwhile, the index color mode may not be used when the color depth of the image to be processed is very large (for example, 24-bit true color or 30/36/48-bit deep color). In this case, the pixel data itself corresponding to each pixel may include an RGB value. Therefore, in this case, the acquisition module 111 can directly obtain the RGB value of the pixel to be converted from the pixel data of the pixel to be converted.

Referring back to FIG. 3, the determination module 112 may determine whether to convert an attribute value of the pixel to be converted, based on an attribute value of the pixel to be converted and an attribute value of the preceding pixel.

In one embodiment, the determination module 112 determines that an attribute value of the conversion subject pixel should be converted when the difference between the attribute value of the conversion subject pixel and the attribute value of the preceding pixel is within a predetermined limit range . In the case where the difference between the attribute values of the two pixels is not large, the two pixels can not be distinguished by the naked eye. Therefore, even if the attribute values of the two pixels are matched with each other, the image quality will not be deteriorated. If the attribute value is composed of a plurality of detailed attribute items, the difference between corresponding detailed attribute items may be calculated and it may be determined whether the attribute value of the pixel to be converted is converted based on the difference.

In one embodiment, when the attribute values of the pixel to be converted and the pixel value of the preceding pixel are RGB values, the determination module 112 determines whether the conversion condition including at least one of the following first to third conditions is satisfied It can be determined that the property value of the target pixel needs to be transformed.

First condition:

Second condition:

Third condition:

Wherein, R _t is R the value of the converted pixel, R _p is the R value of the prior pixel, G _t is the G value of the converted pixel, G _p is the G value of the prior pixel, B _t is the conversion target B value of the pixel, B _p may represent the B value of the prior pixel.

On the other hand, t _r represents a predetermined first threshold value (a threshold value for the difference between the R values of two pixels), t _g represents a predetermined second threshold value (a threshold value for the difference between G values of two pixels) It represents, t _b may represent a predetermined third (threshold value for the difference between the B values of the two pixels) threshold.

The values of t _r , t _g , and t _b may be a predetermined fixed value, but they may be values determined adaptively according to the characteristics of the image, the characteristics of the compression method, and the like. For example, the characteristic for determining the values of t _r , t _g , and t _b may be a complexity, an image quality, a kind (gradation, strong edge or the like) indicating whether the image to be processed is a complex image or a simple image ), Texture, etc.), and the like. This characteristic may also be a property that should be considered because the image processing system 100 performs lossy compression. This is because the compression target image may be an image having no significant influence on the visible image quality even if a certain amount of information is lost depending on the characteristic thereof and there is a great influence on the visible image quality when the information loss is a certain degree It may be an image.

On the other hand, when the determination module 112 determines that the attribute value of the pixel to be converted should be converted, the conversion module 113 may convert the attribute value of the pixel to be converted into the attribute value of the preceding pixel . At this time, if the preceding pixel is a pixel whose attribute value has already been converted by the conversion module 113, the attribute value of the preceding pixel may be an attribute value after conversion. This is to prevent the accumulation of errors due to the conversion of attribute values that are performed sequentially for a series of pixels.

The conversion module 113 does not only directly convert the attribute of the pixel, but can also be used to mean converting the reference value used for confirming the attribute . For example, when the processing target image uses the index color mode, the conversion module 113 converts the index value included in the pixel data of the pixel to be converted into the index value included in the pixel data of the preceding pixel .

FIG. 5 is a diagram for explaining how an attribute value (in particular, an RGB value) of each pixel included in an image to be processed by an image processing system 100 according to an embodiment of the present invention is transformed. FIG. 5 shows only the conversion result for a part of the image to be processed (the first row and the second row) shown in FIG. 4 (b).

For the convenience of understanding, it is assumed in the example of FIG. 5 that the conversion condition is satisfied only when the difference between the indexes of the two RGB values is 1. That is, it is assumed that the conversion condition is satisfied only when the RGB values of the two pixels are respectively <R _i , G _i , B _i >, <R _{i + 1} , G _{i + 1} , and B _{i + 1} > do.

Referring to FIG. 5, the control module 120 may control the pixel processing module 110 to perform pixel processing on p (0, 0). However, since p (0, 0) is the first pixel in which the preceding pixel does not exist, there may be no change in the attribute values before and after the conversion.

The control module 120 may control the pixel processing for the next pixel p (0, 1) to be performed. Since the preceding pixel of the pixel p (0, 1) to be converted is p (0, 0) and the indices indicating the respective attribute values are 2 and 3, the conversion condition is satisfied by the above assumption. Accordingly, the conversion module 113 can convert the index indicating the attribute value of the pixel p (0, 1) to be converted into 2, which is the index of the preceding pixel p (0, 0).

The control module 120 may control the pixel processing for the next pixel p (0, 2) to be performed. Since the preceding pixel of the pixel p (0, 2) to be converted is p (0, 1) and the indices indicating the respective attribute values are 2 and 3, the conversion condition is satisfied by the above assumption Note that it has been converted by a pixel processing process. Therefore, the conversion module 113 can convert the index indicating the attribute value of the conversion object pixel p (0, 2) into the index 2 of the preceding pixel p (0, 1).

The control module 120 may control the pixel processing for the next pixel p (0, 3) to be performed. Since the preceding pixel of the conversion object pixel p (0, 3) is p (0, 2) and the indices indicating the respective attribute values are 2 and 4, the conversion condition is not satisfied by the above assumption Note that it has been converted by the pixel processing performed). Therefore, the conversion module 113 can maintain the attribute values of the conversion object pixel p (0, 3) without conversion.

The control module 120 can control the pixel processing for the next pixel p (0, 4) to be performed. Since the preceding pixel of the pixel p (0, 4) to be converted is p (0, 4) and the indices indicating the respective attribute values are 4, 3, the conversion condition is not satisfied by the above assumption. Accordingly, the conversion module 113 can convert the index indicating the attribute value of the conversion object pixel p (0, 4) into the index 4 of the preceding pixel p (0, 3).

On the other hand, when the pixel processing process for p (0, n) is performed in the above-described manner, the control module 120 can control the pixel process for the next pixel p (1, 0) . Since the preceding pixel of the pixel p (1, 0) to be converted is p (0, n) and the indices indicating the respective attribute values are 6, 7, the conversion condition is satisfied by the above assumption. Accordingly, the conversion module 113 can convert the index indicating the attribute value of the pixel p (1, 0) to be converted into the index 6 of the preceding pixel p (1, n).

Thereafter, the control module 120 may generate the processed image by controlling the pixel processing to be performed sequentially from p (1, 1) to the last pixel included in the processing target image in the above-described manner.

In the above description, the control module 120 controls all the pixels included in the image to be processed to be processed. However, according to the embodiment, the control module 120 controls the pixels included in the image to be processed May be controlled to be processed. For example, the control module 120 may control to process only pixels included in a certain column or a part of rows included in the processing target image.

Referring again to FIG. 2, the compression module 130 may compress the processed image, which is the result of processing the processed image by the control module 120 and the pixel processing module 110. The compression module 130 may compress the processed image using various lossy or lossless compression techniques, according to embodiments.

6 is a flowchart illustrating a method of providing an image processing system according to an embodiment of the present invention.

Referring to Figure 6, and in the image processing system 100 includes a conversion target pixel (P _t), in turn, a plurality of pixels respectively included in the processing target image to a processed image to the conversion target pixel (P _t) By performing the pixel processing step, a processed image can be generated (SlOO).

On the other hand, the converted pixel in the pixel processing step (S100) to (P _t), the image processing system 100 includes a property value and the preceding pixel of the converted pixel of the converted pixel (P _t) (P _p ) (S110, S120).

Then, it is possible to judge whether the attribute value of the pixel P _{t to be} converted and the attribute value of the preceding pixel P _p satisfy a predetermined conversion condition. If the conversion condition is satisfied, (P _t ) into the attribute value of the preceding pixel (P _p ) (S 130).

When a processed image is generated in step S100, the image processing system 100 can perform compression on the processed image to generate a compressed image.

On the other hand, according to an embodiment, the image processing system 100 may include a processor and a memory for storing a program executed by the processor. The processor may include a single-core CPU or a multi-core CPU. The memory may include high speed random access memory and may include non-volatile memory such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid state memory devices. Access to the memory by the processor and other components can be controlled by the memory controller. Here, the program may cause the image processing system 100 according to the present embodiment to perform the image processing system providing method described above when executed by a processor.

Meanwhile, a method of providing an image processing system according to an exemplary embodiment of the present invention may be implemented as a computer-readable program command and stored in a computer-readable recording medium. The program can also be stored in a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

Program instructions to be recorded on a recording medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of software.

Examples of the computer-readable recording medium include magnetic media such as a hard disk, a floppy disk and a magnetic tape, optical media such as CD-ROM and DVD, a floptical disk, And hardware devices that are specially configured to store and execute program instructions such as magneto-optical media and ROM, RAM, flash memory, and the like. The above-mentioned medium may also be a transmission medium such as a light or metal wire, wave guide, etc., including a carrier wave for transmitting a signal designating a program command, a data structure and the like. The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

Examples of program instructions include machine language code such as those produced by a compiler, as well as devices for processing information electronically using an interpreter or the like, for example, a high-level language code that can be executed by a computer.

The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

It is intended that the present invention covers the modifications and variations of this invention provided they come within the scope of the appended claims and their equivalents. .

Claims (12)

An acquiring module for acquiring an attribute value of a conversion target pixel included in an image to be processed and an attribute value of a preceding pixel of the conversion target pixel;
A determination module that determines whether to convert an attribute value of the conversion subject pixel based on the attribute value of the conversion subject pixel and the attribute value of the preceding pixel; And
A conversion module for converting an attribute value of the conversion subject pixel into an attribute value of the preceding pixel when the determination module determines that the attribute value of the conversion subject pixel should be converted, And if the value is a converted pixel, the attribute value of the preceding pixel is an attribute value after conversion.
The method according to claim 1,
Wherein the attribute value of the pixel to be converted is the RGB value of the pixel to be converted,
Wherein an attribute value of the preceding pixel is an RGB value of the preceding pixel.
3. The method of claim 2,
Wherein the determination module comprises:
And determines that the attribute value of the pixel to be converted should be converted if the conversion condition including at least one of the first condition to the third condition described below is satisfied.

First condition:

(R _t is R the value of the converted pixel, R _p R is the value of the prior pixel, t _r is a predetermined first threshold value)
Second condition:

(G _t is the G value of the pixel to be converted, G _p is the G value of the preceding pixel, and t _g is a predetermined second threshold value)
Third condition:

(B _t is a B value of the pixel to be converted, B _p is a B value of the preceding pixel, and t _b is a predetermined third threshold value)
3. The method of claim 2,
The acquisition module,
And obtains an RGB value corresponding to a color index value included in pixel data of the conversion subject pixel from a color lookup table included in the image to be processed.
The method according to claim 1,
The image processing system comprising:
And a compression module for compressing the processed image including the pixels converted by the conversion module.
An obtaining step of obtaining an attribute value of a pixel to be converted included in an image to be processed and an attribute value of a preceding pixel of the pixel to be converted;
A determination step of determining whether an attribute value of the pixel to be converted should be converted based on the attribute value of the pixel to be converted and the attribute value of the preceding pixel; And
A converting step of converting an attribute value of the pixel to be converted into an attribute value of the preceding pixel when it is determined to convert the attribute value of the pixel to be converted, The attribute value of the preceding pixel is an attribute value after conversion.
The method according to claim 6,
Wherein the attribute value of the pixel to be converted is the RGB value of the pixel to be converted,
Wherein the property value of the preceding pixel is the RGB value of the preceding pixel.
8. The method of claim 7,
Wherein,
Determining that an attribute value of the pixel to be converted should be converted when a conversion condition including at least one of the first condition to the third condition is satisfied.

First condition:

(R _t is R the value of the converted pixel, R _p R is the value of the prior pixel, t _r is a predetermined first threshold value)
Second condition:

(G _t is the G value of the pixel to be converted, G _p is the G value of the preceding pixel, and t _g is a predetermined second threshold value)
Third condition:

(B _t is a B value of the pixel to be converted, B _p is a B value of the preceding pixel, and t _b is a predetermined third threshold value)
8. The method of claim 7,
The acquiring step includes:
Acquiring an RGB value corresponding to a color index value included in pixel data of the conversion subject pixel from a color reference table included in the image to be processed.
The method according to claim 6,
The image processing system providing method includes:
And a compressing step of compressing the processed image including the converted pixel by the converting step.
A computer-readable recording medium recording a program for performing the method according to any one of claims 6 to 10.
An image processing system,
A processor; And
A memory for storing a computer program executed by the processor,
Wherein the computer program, when executed by the processor, causes the image processing system to perform the method recited in any one of claims 6 to 10.

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