Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint

Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint

Abstract Block compressive sensing reduces the computational complexity by dividing the image into multiple patches for processing, but the performance of the reconstruction algorithm is decreased. Generally, the reconstruction algorithm improves the quality of reconstructed image by adding various...

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Bibliographic Details
Main Authors: Yuanhong Zhong, Jing Zhang, Xinyu Cheng, Guan Huang, Zhaokun Zhou, Zhiyong Huang
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Image reconstruction
Compressive sensing
Reweighted double sparse constraint
Online Access:http://link.springer.com/article/10.1186/s13640-019-0464-1

Internet

http://link.springer.com/article/10.1186/s13640-019-0464-1

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