Signal source encoding method based on distributed compressive sensing technology

A technology of compressed sensing and source coding, which is applied in the field of source coding, can solve problems such as no improvement effect, and achieve the effect of improving recovery effect, low computational complexity, and improving performance

Inactive Publication Date: 2011-07-13
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0016] In short, the original CS technology has been applied to the field of image processing and achieved some results. However, because the CS technology does not take advantage of the correlation between signals, when it is applied to video signals (especially moving images) When dealing with the field, it has not received a good improvement effect

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  • Signal source encoding method based on distributed compressive sensing technology
  • Signal source encoding method based on distributed compressive sensing technology
  • Signal source encoding method based on distributed compressive sensing technology

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] Because the video image signal source often presents a certain degree of sparsity, for example, the signal has the structural characteristics of sparse representation in the DCT domain and a transform domain of the wavelet domain, so it has the base output using CS technology. However, when using the traditional source coding method based on the DCT transform domain, it is necessary to perform Nyquist sampling on the data source to obtain a large amount of original data, which requires a huge sampling and storage cost, and then discards the original data when performing the DCT transform operation. Most of the sampled data, resulting in waste of storage and transmission, such as figure 1 (A) shown.

[0037] The mechanism of the inventive m...

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Abstract

The invention discloses a signal source encoding method based on a distributed compressive sensing (DCS) technology is characterized in that based on the sparseness of a video image data source and the characteristics of sparser differential signals, when a video image signal source is encoded, a low-rate sampling operation is performed on differential signals of data frames by using a CS (compressive sensing) technology so as to replace the high-rate data sampling and wavelet transform operations in the traditional signal source encoding; and in the process of decoding, based on the correlation between interframe data and intraframe data, the sparsity reconstruction algorithm of the DCS technology is used for replacing the inverse wavelet transform in the traditional signal source encoding so as to save the sampling resource consumption and reconstruct a video image resource by using less measurement data, thereby reducing the sampling rate and storage burden of a system, and enhancing the system performance so as to obtain a better image restoration effect after data transmission.

Description

technical field [0001] The invention relates to a method for source coding based on distributed compressed sensing technology, and belongs to the technical field of video image data processing. Background technique [0002] First, the difference method in video processing is introduced. The frame rate of the video image is 25-30 frames per second, therefore, the correlation between the data of each frame of the video image is very strong. The difference processing method of the video is to perform the difference operation between adjacent or similar frames first, so that most of the pixel data values ​​​​of the difference image are near zero, and then after threshold quantization, these data values ​​are converted to zero. The data that needs to be processed is greatly reduced. After the difference processing is completed, wavelet transform is performed on the difference image. There are two main reasons for this: one is to concentrate the energy of the difference image i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N19/587H04N19/59H04N19/90
Inventor 徐文波牛凯贺志强孙健行
Owner BEIJING UNIV OF POSTS & TELECOMM
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