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Method for removing block effect of video image

A video image and block effect technology, applied in the field of image processing and computer vision, can solve problems such as the limitation of block edge processing, and achieve the effect of reducing the block effect and improving the quality of subjective evaluation.

Inactive Publication Date: 2010-09-22
AVONACO COMM SYST SUZHOU
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Problems solved by technology

In 1990, Perona and Malik proposed the famous P-M nonlinear diffusion equation, which can smooth and protect edges at the same time, but has certain restrictions on square edge processing

Method used

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  • Method for removing block effect of video image
  • Method for removing block effect of video image
  • Method for removing block effect of video image

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Experimental program
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Embodiment 1

[0016] Embodiment one: see figure 1 As shown, it is a realization block diagram of removing the block effect of a video image provided by this embodiment. After the steps of entropy decoding, reordering, inverse quantization, inverse transformation and filtering processing are performed on the video image, the reconstructed image is obtained, and then the image is reconstructed. Nonlinear Diffusion Filter Processing.

[0017] see figure 2 As shown, it is a block diagram of steps for performing non-linear diffusion filtering processing in the removal of video image block effects in H264 decoding provided by this embodiment, including the following steps:

[0018] The first step is to calculate the absolute value of the gradient of each pixel, and calculate the value of the edge stop function according to the absolute value of the gradient:

[0019] Suppose the image data in the display buffer is u i，j , then the absolute value of the gradient is:

[0020] | ...

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Abstract

The invention relates to a method for removing block effect by curvature driving and edge stop non-linear diffusion. The method comprises the following steps of: calculating the absolute value of gradient of each pixel in an image and the absolute value of the curvature of isophotes of the image and determining the diffusion coefficient value of each pixel according to the two parameters; then removing the block effect through non-linear diffusion algorithm, namely determining the diffusion degree according to the diffusion coefficient, and updating the gray value of the pixel; and finally calculating the signal-to-noise ratio of the result of the image diffusion, if the signal-to-noise ratio is higher than a designated value, finishing the image processing, and if the signal-to-noise ratio is not higher than a designated value, returning to the first step to continue the processing until the signal-to-noise ratio is higher than the designated value. The method is suitable for filtering the block effect of a reconstructed image and can protect the edge with good effect.

Description

technical field [0001] The invention relates to a method for eliminating the block effect of a reconstructed image, which belongs to the technical fields of image processing and computer vision. Background technique [0002] In the H264 / MPEG-4 AVC video coding standard, image blocks will appear after codec inverse transform and quantization. There are two reasons for this. One important reason is that the DCT transformation based on block-based intra-frame and inter-frame prediction residuals, the quantization process of the transform coefficients is relatively rough, so the transform coefficients restored by the inverse quantization process have errors, which will cause visual distortion on the image block boundary. Discontinuity; secondly, another reason comes from motion compensation prediction, and motion compensation blocks may be copied from interpolated sample data at different positions not in the same frame. Since the matching of motion compensated blocks cannot b...

Claims

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Application Information

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IPC IPC(8): H04N5/21H04N7/64H04N19/89
Inventor 朱春香
Owner AVONACO COMM SYST SUZHOU
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