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Method and device for processing images in quantification

A quantization processing and image technology, applied in the field of image coding and decoding, can solve the problems of increasing transmission bit overhead, affecting coding efficiency and transmission performance, increasing the complexity of image quantization processing, etc., to achieve the effect of improving subjective and objective quality

Inactive Publication Date: 2010-07-07
HUAWEI TECH CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, with this scheme, in the image encoding process, it may be necessary to adjust the coefficient values ​​of the quantization matrix in each image header separately, so the complexity of the image quantization processing will be increased; at the same time, the quantization matrix is ​​written in each image header separately, In the process of encoding code stream transmission, the overhead of transmission bits will inevitably increase, which will affect the coding efficiency and transmission performance of the system.

Method used

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  • Method and device for processing images in quantification
  • Method and device for processing images in quantification
  • Method and device for processing images in quantification

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Experimental program
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Effect test

Embodiment 1

[0049] Perform DCT transformation on the current image to be encoded to obtain the corresponding DCT coefficient matrix. According to the above division method and the statistical method of the coefficient value of the corresponding area, count the statistical values ​​of each intermediate frequency region in the obtained DCT coefficient matrix, denoted as af2', af3 ', af4', respectively corresponding to the intermediate frequency regions f2, f3 and f4 in the DCT coefficient matrix;

[0050] Then calculate the differences between af2', af3', af4' and the corresponding prior data af2, af3, af4 respectively, and record the obtained differences as df2, df3, df4 respectively;

[0051] If the difference is a positive value, it indicates that in the DCT coefficient matrix of the current image to be encoded, the proportion of the mid-high frequency region is greater than the proportion value in the statistical sense, and the mid-high frequency region in the DCT coefficient matrix of t...

Embodiment 2

[0054] Perform DCT transformation on the previous image of the current image to be encoded to obtain the corresponding DCT coefficient matrix. According to the above division method and the statistical method of the coefficient value of the corresponding area, count the statistical values ​​of each intermediate frequency region in the obtained DCT coefficient matrix, record are af20, af30, af40, corresponding to the intermediate frequency regions f2, f3 and f4 in the DCT coefficient matrix;

[0055]In addition, DCT transformation is performed on the current image to be encoded to obtain the corresponding DCT coefficient matrix. According to the above division method and the statistical method of the coefficient value of the corresponding region, the statistical value of each intermediate frequency region in the obtained DCT coefficient matrix is ​​counted, which is recorded as af21, af31 , af41, respectively corresponding to the intermediate frequency regions f2, f3 and f4 in t...

Embodiment 3

[0062] Calculate the statistical values ​​of the absolute values ​​of the mid-high frequency region coefficient values ​​in the DCT coefficient matrix corresponding to the I frame, P frame, and B frame images in all video sequences, respectively: (af2i, af3i, af4i), (af2p, af3p , af4p), (af2b, af3b, af4b), as prior data. Of course, the variance of the absolute value of the transformation coefficients in the middle and high frequency bands (f2, f3, f4) can also be statistically obtained, which are respectively recorded as: (vf2i, vf3i, vf4i), (vf2p, vf3p, vf4p), (vf2b, vf3b, vf4b), as prior data.

[0063] According to the current coded image (i.e. P frame), the previous image (or several previous images) (i.e. I frame) of the current encoded image, and the next image (or several subsequent images) of the current encoded image (i.e. B frame) coding prediction characteristics, which are I, P, and B frames are divided into different weighted values, respectively denoted as The ...

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Abstract

The embodiment of the invention discloses method and device for processing images in quantification, which improve the subjective quality of quantification-coded images on a simpler basis without affecting the performance of a coding and decoding system. The method comprises the following steps of: converting an image block to obtain a conversion coefficient matrix corresponding to the image block; dividing regions for the conversion coefficient matrix according to a pre-set division mode; counting a statistic of each divided region; and carrying out the quantification adjustment on the corresponding region in the conversion coefficient matrix of the image block according to the statistic of the region.

Description

technical field [0001] The present invention relates to the technical field of image encoding and decoding, in particular to a quantization processing method and device for images. Background technique [0002] In the image coding and decoding technology, the quantization matrix is ​​usually used to quantize the transformed coefficients of the image, and then the quantized data is subjected to entropy coding processing to obtain a compressed code stream. The coefficients after the image transformation are generally referred to as transformation coefficients. The selected embodiments of the program of the present invention are all based on the realization of DCT (Discrete Cosine Transform, Discrete Cosine Transform) or class DCT transformation, so the described image transformation is called DCT transformation, and the coefficient after the described image transformation is called DCT Transform coefficients. Therefore, in the process of video encoding, the quality of encode...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N7/30H04N19/17H04N19/18
Inventor 郑萧桢郑建铧
Owner HUAWEI TECH CO LTD
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