Distributed compressed sensing encoding and decoding method for video
The invention discloses a distributed compressed sensing encoding and decoding method for a video, which solves the problem that a DCVS reconstruction method in the prior art still needs to be improved. The method comprises the following steps of: 1.1, calculating self-adaptive bloc information of a...
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Format | Patent |
Language | Chinese English |
Published |
07.08.2020
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Abstract | The invention discloses a distributed compressed sensing encoding and decoding method for a video, which solves the problem that a DCVS reconstruction method in the prior art still needs to be improved. The method comprises the following steps of: 1.1, calculating self-adaptive bloc information of a picture; 1.2, performing DCT coding of different sizes according to the obtained block information;2.1, through a large number of experimental tests, creating and calculating optimal scale sample data; 2.2, calculating the texture complexity of a sample picture; 2.3, training the sample data by using a BP neural network to obtain an adaptive scale factor model; 2.4, modifying an original BCS _ SPL algorithm, and adding new input parameters; and 2.5, modifying the whole key frame encoding and decoding process by using an improved BCS _ SPL algorithm. According to the key frame improvement algorithm provided by the invention, the reconstruction time of the image is greatly shortened on the premise of obviously reduc |
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AbstractList | The invention discloses a distributed compressed sensing encoding and decoding method for a video, which solves the problem that a DCVS reconstruction method in the prior art still needs to be improved. The method comprises the following steps of: 1.1, calculating self-adaptive bloc information of a picture; 1.2, performing DCT coding of different sizes according to the obtained block information;2.1, through a large number of experimental tests, creating and calculating optimal scale sample data; 2.2, calculating the texture complexity of a sample picture; 2.3, training the sample data by using a BP neural network to obtain an adaptive scale factor model; 2.4, modifying an original BCS _ SPL algorithm, and adding new input parameters; and 2.5, modifying the whole key frame encoding and decoding process by using an improved BCS _ SPL algorithm. According to the key frame improvement algorithm provided by the invention, the reconstruction time of the image is greatly shortened on the premise of obviously reduc |
Author | KUO YONGHONG CHEN JIAN SUN PENGDA |
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Snippet | The invention discloses a distributed compressed sensing encoding and decoding method for a video, which solves the problem that a DCVS reconstruction method... |
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Title | Distributed compressed sensing encoding and decoding method for video |
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