Application of D-KSVD in compressed sensing based video coding

•Dksvd algorithm is applied to distributed compressed sensing video coding and decoding,and have a better result of reconstruction.•The calculation time is greatly reduced in the process of image reconstruction. Compressed sensing theory based distributed video coding is one of the active topics in...

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Bibliographic Details
Published inOptik (Stuttgart) Vol. 226; p. 165917
Main Authors Wang, Hao-quan, Tang, Qian-nan, Wang, Ya-hui, Ren, Shi-lei
Format Journal Article
LanguageEnglish
Published Elsevier GmbH 01.01.2021
Subjects
Compressed sensing
Dictionary learning
Distributed video coding
Compressed sensing
Dictionary learning
Distributed video coding
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Summary:•Dksvd algorithm is applied to distributed compressed sensing video coding and decoding,and have a better result of reconstruction.•The calculation time is greatly reduced in the process of image reconstruction. Compressed sensing theory based distributed video coding is one of the active topics in video coding research filed. In the compressed perception theory, the KSVD dictionary is usually used to achieve signal sparsity. In this paper,Based on the K-SVD algorithm, this paper proposes to apply the discriminative K-SVD (d-ksvd) algorithm to distributed compressed sensing video coding. We evaluate our method using the video in YUV format. It is verified by experiments that our method not only achieve better result of reconstruction but also save lot of time in terms of computing time.
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2020.165917