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Low-bit compressed image deblocking method based on visual sensitivity and spatial filtering

A technology of spatial filtering and deblocking effect, applied in the field of image processing, can solve problems such as block effect distortion

Inactive Publication Date: 2014-07-02
THE FIRST RES INST OF MIN OF PUBLIC SECURITY +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of block effect distortion in low bit rate compressed images by adopting a deblocking method based on the combination of visual sensitivity and spatial filtering for low bit rate JPEG compressed images

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  • Low-bit compressed image deblocking method based on visual sensitivity and spatial filtering

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Embodiment Construction

[0050] Such as Figure 1 to Figure 5 As shown, a kind of low-bit compressed image deblocking effect method based on visual sensitivity and spatial filtering of the present invention, the method comprises the following steps:

[0051] The first step: divide the input distorted image into flat area, edge area and texture area according to the visual sensitivity characteristics;

[0052] Step 2: Select the Sobel operator to extract the gradient information of the image pixels. After calculating the gradient value of the entire image, use three component models, set the threshold, and divide the image into edge area, texture area and flat area. area;

[0053] Step 3: Divide the three areas of the distorted image into 8×8 blocks, and the distorted image area is further divided into flat blocks, edge blocks, and texture blocks; the block type is determined by the texture corresponding to the most texture pixels in the block type decision;

[0054] Step 4: According to the type of...

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Abstract

The invention relates to a low-bit compressed image deblocking method based on visual sensitivity and spatial filtering. The method includes the steps that an input distorted image is divided into a flat region, an edge region and a texture region according to visual sensitivity characteristics; then a Sobel operator is selected to extract gradient information of pixels of the image, a threshold value is set to enable the image to be divided into an edge region, a texture region and a flat region; the image is further divided into flat blocks, edge blocks and texture blocks; filtering is conducted on the blocks in different filtering modes, and finally block information obtained after filtering is integrated to obtain a processed image. According to the method, the human eye visual sensitivity characteristics are applied to classification of compressed distorted image texture, and the blocking effect in the image is subdivided into six types according to the neighboring relation of the texture blocks. The classification method is simple and effective, an appropriate filter can be selected specifically and easily to perform filtering processing on the blocking effect.

Description

technical field [0001] The invention relates to the technical field of image processing methods, in particular to a low-bit compressed image deblocking method based on visual sensitivity and spatial filtering. Background technique [0002] At present, digital multimedia technology is developing rapidly. In order to meet the needs of digital images in the process of transmission and storage, images are usually compressed. Compression coding standards such as JPEG, MPEG, H.261, H.263 based on block DCT transform are widely used in various aspects of multimedia technology. However, when the coding method based on block DCT transform is at a low bit rate, the decompressed image will produce serious block effect distortion, and the lower the bit rate of the image, the more obvious the block effect is, and the block effect distortion has a great impact on the subjective and objective quality of the image. It has caused a serious impact, causing the image not only to fail to meet ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/174H04N19/137
Inventor 赵士伟李胜广谭林王俊修王月明
Owner THE FIRST RES INST OF MIN OF PUBLIC SECURITY
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