Method for removing block noise from video image

A video image, blocky technology, applied in the field of image processing and computer vision, can solve the problem of block edge processing limitations, achieve the effect of reducing blocky noise and improving the quality of subjective evaluation

Inactive Publication Date: 2010-10-20
SUZHOU NEW SEA UNION TELECOM TECH CO LTD
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AI Technical Summary

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

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  • Method for removing block noise from video image
  • Method for removing block noise from video image
  • Method for removing block noise from video image

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Embodiment Construction

[0015] The present invention will be further described below in conjunction with accompanying drawing and embodiment:

[0016] see figure 1 As shown, it is a method for removing blocky noise in a video image provided by this embodiment. First, the video image is subjected to entropy decoding, reordering, inverse quantization, inverse transformation, and filter processing to obtain a reconstructed image, and then the reconstructed image The composed image is processed by nonlinear diffusion image filtering.

[0017] see figure 2 As shown, it is a block diagram of steps for performing nonlinear diffusion image filtering processing in the process of removing blocky noise in video images 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 d...

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Abstract

The invention relates to a method for removing block noise from a video image, which comprises the following steps of: performing entropy decoding, reordering, inverse qualification, inverse transformation and filtration with a filter on the video image to obtain a reconstructed image, and performing nonlinear diffusion image filtering processing on the reconstructed image. The step of performing nonlinear diffusion image filtering processing comprises the following steps of: firstly, calculating the gradient absolute value of each pixel in the image and the isolux curvature absolute value of the image and determining the diffusion coefficient value of each pixel according to the two parameters; secondly, performing nonlinear diffusion algorithm to remove the block noise, namely determining the degree of diffusion according to the diffusion coefficient and updating the gray-scale value of the pixel at the same time; and finally calculating the signal to noise ratio of the image diffusion result, if the signal to noise ratio is higher than a given value, finishing the image processing, otherwise, returning to the last step, namely updating the gradient absolute value and the curvature absolute value until the signal to noise ratio is higher than the given value. The method of the invention is suitable for filtering the block noise from the reconstructed image, can protect edges and has very good effect.

Description

technical field [0001] The invention relates to a method for removing blocky noise of a video image, belonging to the technical fields of image processing and computer vision. Background technique [0002] In the H264 / MPEG-4AVC video coding standard, blocky noise will appear in the image after codec inverse transform and quantization. There are two reasons for this, one of the important reasons is that the DCT (discrete cosine) transform based on the intra-frame and inter-frame prediction residual of the block, the quantization process of the transform coefficient is relatively rough, so the transform coefficient recovered by the inverse quantization process With errors, it will cause visual discontinuity on the image block boundary; secondly, another reason comes from motion compensation prediction, and the motion compensation block may be copied from the interpolated sample data at different positions in the same frame Yes, because the matching of motion compensated block...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/217H04N5/21H04N7/26H04N19/80H04N19/85
Inventor 陈卫明荆亚新戴春晓高进宝迟培毅王博王皓
Owner SUZHOU NEW SEA UNION TELECOM TECH CO LTD
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