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Video compressed sensing reconstruction method based on LSTM network and image group quality blind evaluation

A video compression and image group technology, which is applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as inability to obtain image signals, and difficult to refer to original images for reconstruction performance evaluation, so as to achieve the effect of improving quality

Active Publication Date: 2019-10-25
DONGHUA UNIV
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Problems solved by technology

[0004] The reconstruction process of video compression sensing cannot obtain the original image signal, and it is difficult to refer to the original image for reconstruction performance evaluation

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  • Video compressed sensing reconstruction method based on LSTM network and image group quality blind evaluation
  • Video compressed sensing reconstruction method based on LSTM network and image group quality blind evaluation
  • Video compressed sensing reconstruction method based on LSTM network and image group quality blind evaluation

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Embodiment Construction

[0025] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0026] In compressed sensing video communication, the measurement end performs individual measurement of each frame on the original video or sub-video divided by blocks, and sends the frame observation vector code stream. The reconstruction terminal receives the code stream and combines them to form continuous image group observation vectors. Each image group observation vector contains L frame observation vectors, i represents...

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Abstract

The invention relates to a video compressed sensing reconstruction method based on an LSTM network and image group quality blind evaluation. The method comprises: a reconstruction end receiving a frame observation vector code stream; and combining to form continuous image group observation vectors, executing multi-frame joint iterative reconstruction based on the LSTM network on each image group observation vector to obtain a corresponding reconstructed image group, outputting final reconstructed frames one by one, and determining whether to update a parameter set of the LSTM network accordingto a continuous condition that the number of iterations reaches a maximum value. According to the method, sparse prior modeling and a data driving mechanism can be combined, and the quality of the reconstructed video can be improved.

Description

technical field [0001] The invention relates to the technical field of video compression sensing reconstruction, in particular to a video compression sensing reconstruction method based on LSTM network and image group quality blind evaluation. Background technique [0002] The rise of compressed sensing technology provides a new type of signal acquisition and recovery mechanism. According to the theory of compressed sensing, it is only necessary to project the original signal onto a random base to obtain a small number of measured values, which has sparse or near-sparse data in a certain transform domain. The signal represented can then be recovered from these measurements. In compressed sensing video communication, the measurement end and the reconstruction end are extremely asymmetrical. The measurement end is an information-physical fusion system, which has basic characteristics such as limited physical and computing resources, and coordinated signal acquisition and trans...

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Application Information

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IPC IPC(8): H04N19/126H04N19/139H04N19/154H04N19/177H04N19/192
CPCH04N19/126H04N19/139H04N19/154H04N19/177H04N19/192
Inventor 刘浩魏冬周健田伟陈根龙黄荣孙韶媛李德敏周武能魏国林廖荣生黄震
Owner DONGHUA UNIV
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