System and method for video compression sensing and encoding based on measurement domain block classification

A video compression and perceptual coding technology, applied in the field of video coding, can solve the problems of unavailability of block classification method, unavailability of pixel domain signal and frequency domain signal at the coding end, etc., to increase the complexity and improve the rate-distortion performance.

Inactive Publication Date: 2013-10-02
XIDIAN UNIV
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Problems solved by technology

[0007] The existing block classification methods usually use the mean variance in the pixel domain or the distribution characteristics of the frequency domain signal as the classification basis, but the pixel domain signal and the frequency domain signal at the encoding end of the video coding system based on compressed sensin

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  • System and method for video compression sensing and encoding based on measurement domain block classification
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  • System and method for video compression sensing and encoding based on measurement domain block classification

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Embodiment Construction

[0045] Attached below figure 1 with figure 2 The present invention is described in further detail:

[0046] Step 1. Block Compression Sampling

[0047] will input image block or video block x b It is divided into sub-blocks of equal size and non-overlapping each other, and each sub-block is measured with a Gaussian random measurement matrix of the same size to obtain the measured value. A specific embodiment of the present invention is to further divide the video block to be sampled into four sub-blocks x b1 、x b2 、x b3 、x b4 , and the corresponding DCT domain signal is θ 1 , θ 2 , θ 3 , θ 4 , each sub-block is sampled with a Gaussian random measurement matrix of the same size, the sampling rate is MR=0.5, and the measurement domain signal y is obtained respectively 1 ,y 2 ,y 3 ,y 4 , the measurement domain signal is an m×1 column vector;

[0048] Step 2. Extract measurement domain feature image

[0049] The measurement domain signal of the sub-block is used a...

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Abstract

The invention relates to a system and a method for video compression sensing and encoding based on measurement of domain block classification. The system comprises a block compression sampling module, a block classification module of a measurement domain, a sampling rate allocation module, a sampling number allocation and secondary measurement module and a reconstruction module. An encoding end divides an input video block into sub-blocks which are equal in size and not mutually overlapped, and each of the sub-blocks is measured by using the same random measurement matrix to obtain measurement domain signals; the block classification module of the measurement domain uses the measurement domain signals as row vectors of the matrix to obtain a measurement domain characteristic image, a correlation relation model between the measurement domain signals and frequency domain signals is built, judgment of the block classification is carried out on the measurement domain characteristic image according to the relation model, sampling rates are allocated to different types of video blocks, the sampling number allocation and secondary measurement module determines a measurement number and a measurement matrix according to the sampling rates and the video blocks, video signals are measured again by using the measurement matrix to obtain measurement signals, and the measurement signals are transmitted to the reconstruction module to reconstruct.

Description

technical field [0001] The invention belongs to the technical field of video coding, and mainly relates to a video coding system and method based on compressed sensing, in particular to a video compressed sensing coding system and method based on measurement domain block classification, which is used in a video coding system. Background technique [0002] In the H.264 standard video coding system, motion estimation is used to remove the temporal correlation of the video signal, and DCT transformation is used to remove the spatial correlation. In fact, further research has found that there are still DCT coefficients between intra-blocks and inter-blocks. Strong correlation, which is strengthened with the proximity of the spatial position of the block, we refer to this correlation as frequency domain correlation. [0003] The signal acquisition device based on compressed sensing uses compressed sensing technology to directly convert the analog optical signal into a compressed ...

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Application Information

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IPC IPC(8): H04N7/26H04N7/50
Inventor 宋彬尹东芹郭洁秦浩刘海啸
Owner XIDIAN UNIV
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