A Distributed Compressive Sensing Codec Method for Video
A codec method and compressed sensing technology, applied in the field of video compression, to achieve high efficiency, improve reconstruction quality, and simple operation
Active Publication Date: 2022-03-15
XIDIAN UNIV
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[0004] The present invention overcomes the problem that the DCVS reconstruction method in the prior art still needs to be improved, and provides a distributed compressed sensing encoding and decoding method capable of achieving higher reconstruction quality video
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[0049] The following is a further description of the video distributed compressed sensing encoding and decoding method of the present invention in conjunction with the accompanying drawings and specific embodiments: This embodiment contains the following content: a large number of research results have been obtained on the DCVS scheme combining compressed sensing and distributed video coding. Among these achievements, the encoding and decoding algorithms of the two frames have always been one of the core and most important parts. For non-keyframes, mainstream frameworks use compressive sensing-based codec algorithms; while keyframes use either traditional intra-frame coding or compressed sensing reconstruction.
[0050] 1. Improvement of key frame reconstruction algorithm based on JPEG
[0051] The key frame JPEG algorithm based on DCT transformation is a common standard in static image encoding and decoding, and its image processing process is as follows: figure 1 As shown: ...
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The invention discloses a video distributed compression sensing encoding and decoding method, which overcomes the problem that the DCVS reconstruction method in the prior art still needs to be improved. The invention includes step 1.1: calculating adaptive block information for the picture; step 1.2: performing DCT transform coding of different sizes according to the obtained block information; step 2.1: testing, creating and counting the best scale sample data through a large number of experiments; step 2.2: Calculate the texture complexity of the sample image; Step 2.3: Use the BP neural network to train the sample data to obtain an adaptive scale factor model; Step 2.4: Modify the original BCS_SPL algorithm and add new input parameters; Step 2.5: Use the improved The BCS_SPL algorithm modifies the entire keyframe encoding and decoding process. The key frame improvement algorithm proposed by the invention greatly reduces the image reconstruction time on the premise of obviously reducing the reconstruction quality; the non-key frame improvement algorithm can also improve the image reconstruction quality without increasing the time complexity.
Description
technical field [0001] The invention relates to the technical field of video compression, in particular to a video distributed compression sensing encoding and decoding method. Background technique [0002] With the rapid development of information technology and network technology, the transmission of video information is more and more widely used in people's life, business, environmental protection, and even military affairs. For example, the current rise of live streaming platforms based on handheld mobile devices for video collection, encoding, and transmission has put forward higher requirements for the storage, processing, and transmission of video information capabilities of simple devices at the encoding end, which requires different or better than traditional Support for video codec algorithms. Obviously, the traditional data acquisition and processing methods based on the Nyquist sampling theorem are no longer suitable for the situation where the amount of informa...
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IPC IPC(8): H04N19/176H04N19/119H04N19/625H04N19/14
CPCH04N19/176H04N19/119H04N19/625H04N19/14
Inventor 孙鹏达阔永红陈健
Owner XIDIAN UNIV