JPEG lifting algorithm based on adaptive block compressed sensing

DOI10.1155/2020/2873830zbMath1459.94060OpenAlexW3041490478MaRDI QIDQ782244

Qian Shen, Wenbo Liu, Yin Wu, Han Bao, Yongjun Zhu

Publication date: 23 July 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/2873830

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Image decoding optimization based on compressive sensing
• Orthogonal symmetric Toeplitz matrices
• Error in the reconstruction of nonsparse images
• Compressive sensing in signal processing: algorithms and transform domain formulations
• On the foundations of vision modeling. I: Weber's law and Weberized TV restoration
• Collaborative block compressed sensing reconstruction with dual-domain sparse representation
• Noisy Data and Impulse Response Estimation
• Compressed sensing

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