Picture coding method based on human eye visual characteristic

A technology of image coding and human vision, which is applied in the field of image coding based on the visual characteristics of the human eye, can solve the problems of not fully considering the visual characteristics of the human eye and affecting the quality of image restoration, and achieve the effect of improving the subjective visual quality

Inactive Publication Date: 2012-08-22
FUDAN UNIV
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AI Technical Summary

Problems solved by technology

Subsequently, many improved algorithms of EZW have been launched one after another, but the classic EZW algorithm and these improved algorithms do not fully consider the visual characteristics of the human eye, which affects the quality of image restoration.

Method used

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  • Picture coding method based on human eye visual characteristic
  • Picture coding method based on human eye visual characteristic
  • Picture coding method based on human eye visual characteristic

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Experimental program
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Embodiment 1

[0027] In this embodiment, the standard Man grayscale image of 512×512×8 bits is taken as an example to introduce the whole image encoding process, and finally express the encoding result and the subjective visual quality effect of the reconstructed image in the form of a table and an image.

[0028] 1. Main scan the coefficients after wavelet transform

[0029] The standard Man gray image (original image) is selected as the coding object, and the D (9, 7) biorthogonal wavelet is used for wavelet transformation, and each wavelet coefficient is scanned to generate the coefficient sign.

[0030] (1) If the magnitude of the coefficient is greater than the threshold T and is positive, output the symbol P;

[0031] (2) If the magnitude of the coefficient is greater than the threshold T and is a negative number, output the symbol N;

[0032] (3) If the magnitude of the coefficient is less than the threshold T but greater than the threshold T / 2 and is a positive number, and the coef...

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Abstract

The invention belongs to the technical field of image processing, relating to a picture coding method based on human eye visual characteristics. According to the visual characteristic that human eyes are more sensitive to picture edge and smooth region information distortion than texture region distortion, the invention firstly carries out wavelet decomposition to an original picture; then, a coefficient after wavelet transform is classified by entropy and variance into a visual important coefficient and a common coefficient; and finally, arithmetic coding is adopted to classify and code different coefficients to obtain a final code stream. The invention improves the subjective visual quality of a lossy compression reconstruction picture to ensure that the recovered picture has better visual observation effect after the original picture is performed with lossy compression coding with high compression ratio, and thus, the invention has strong feasibility on large-scale picture storage and picture data transmission.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image coding method based on the visual characteristics of human eyes. Background technique [0002] With the improvement of communication channels and computer capacity and speed, image information has become an important processing object for computer systems. Different from text information, image information needs large storage capacity and wide transmission channel, so the compression of image data has become an urgent need. Image compression refers to the technique of representing the original pixel matrix with fewer bits, also known as image coding. The reason why image data can be compressed is because there is redundancy in the data. The redundancy of image data is mainly manifested as: spatial redundancy caused by the correlation between adjacent pixels in the image; temporal redundancy caused by the correlation between different frames in the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/26G06T9/00H04N19/63H04N19/91
Inventor 付伟顾晓东马成才
Owner FUDAN UNIV
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