Image compression/decompression method and image coder/decoder and decoding circuit

An image compression and compression coding technology, which is applied in the field of image processing, can solve problems such as high decoding complexity, reduced decoding timeliness, and poor effects, and achieve the effects of reducing complexity, simplifying design goals, and improving quality

Active Publication Date: 2007-10-24
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this way, when decoding a pixel, it is necessary to read the compressed data of four adjacent sub-blocks, thus causing a large system delay and bus load, and the decoding complexity is high
[0010] In summary, it can be seen that the existing compression methods generally only use a set of coding logic, and the design of the coding logic often focuses on a certain aspect of the image characteristics, so that the compression method does not match the image characteristics it is suitable for. Other types of images show poor results
In addition, in order to make the encoding method more universally adaptable, it is often devoted to the complex logic design of the encoding algorithm so that it can meet more situations, but the result often leads to a reduction in the timeliness of decoding

Method used

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  • Image compression/decompression method and image coder/decoder and decoding circuit
  • Image compression/decompression method and image coder/decoder and decoding circuit
  • Image compression/decompression method and image coder/decoder and decoding circuit

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Experimental program
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Embodiment 1

[0036] Embodiment 1. An image compression method, the process of which is shown in Figure 1, comprising:

[0037] A1, dividing the original image into sub-blocks of a set size;

[0038] The sub-blocks can be divided into squares, such as the generally selected 4×4 or 8×8 division, or rectangular, such as 4×8 or 8×4, etc. Different sub-block division methods correspond to different compressed data lengths and arrangement formats.

[0039] A2. Using at least two compression encoding methods to encode the divided sub-blocks respectively;

[0040] In actual implementation, various encoding methods can be executed in parallel at the same time, or sequentially executed in a serial manner. At present, the steps of encoding sub-blocks in various compression encoding methods generally include:

[0041] 1. Calculating the characteristic color group of the sub-block, the characteristic color group including at least one characteristic color;

[0042] 2. Select the reconstruction colo...

Embodiment 2

[0079] Embodiment 2, an image compression method, the flow process is as shown in Figure 3, including:

[0080] B1. Divide the original image into sub-blocks of 4×8 size; the division method is as shown in Table 1:

[0081] Pixel0

Pixel1

Pixel2

Pixel3

Pixel16

Pixel17

Pixel18

Pixel19

Pixel4

Pixel5

Pixel6

Pixel7

Pixel20

Pixel21

Pixel22

Pixel23

Pixel8

Pixel9

Pixel10

Pixel11

Pixel24

Pixel25

Pixel26

Pixel27

Pixel12

Pixel13

Pixel14

Pixel15

Pixel28

Pixel29

Pixel30

Pixel31

[0082] Wherein, Pixel0-31 are 32 pixels of the sub-block.

[0083] B2. Four kinds of compression coding methods are used to encode the divided sub-blocks respectively; this embodiment provides 4 specific coding methods for selection, and each coding method adopts 4 characteristic colors Color11, Color12, Color21, Color22, and 8 Reconstruction color, where the first 4...

Embodiment 3

[0143] Embodiment three, an image decompression method, the flow process is as shown in Figure 4, including:

[0144] C1, mapping from the target pixel coordinates to be decompressed to the storage address of the compressed data corresponding to the sub-block;

[0145] When decompressing, the coordinates of the target pixel are generally based on the entire image, so it is necessary to determine which image sub-block the target pixel is located in according to the sub-block division method adopted by the image, and obtain the relative relative position of the compressed data of the sub-block in the memory. address. The compressed data of each sub-block may be stored in the order of scan lines in the memory, or may not be stored in the order of scan lines, but may be stored in an order such as Tianzi.

[0146] C2. Input the compressed data of the sub-block from the storage address;

[0147] After the compressed data of the sub-block is read from the memory for the first time,...

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Abstract

The disclosed multi-code image compress method selects and labels the optimal result according to error value. It also provides the relative image coding / decoding device and circuits. This invention improves image compressing quality, simplifies logic deign, and reduces process complexity.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image compression / decompression method and a corresponding image encoding / decoding device and decoding circuit. The invention is especially suitable for compressing texture images. Background technique [0002] With the continuous expansion of graphics application fields, image compression technology has also been continuously enriched and developed. Currently, there are many excellent variable-length image compression coding algorithms, such as the Joint Photographic Experts Group (JPEG: Joint Photographic Experts Group) compression algorithm and the like. When the variable-length coding method is adopted, after the original image is divided into blocks, image sub-blocks with large entropy use more code bits than image sub-blocks with small entropy. Because variable-length coding means that the corresponding position of a specific pixel in the image in the coded str...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N7/30H04N19/176
Inventor 周凯宁
Owner HUAWEI TECH CO LTD
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