JPEG Lifting Algorithm Based on Adaptive Block Compressed Sensing
Joint Authors
Bao, Han
Zhu, Yongjun
Liu, Wenbo
Shen, Qian
Wu, Yin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-11
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper proposes a JPEG lifting algorithm based on adaptive block compressed sensing (ABCS), which solves the fusion between the ABCS algorithm for 1-dimension vector data processing and the JPEG compression algorithm for 2-dimension image data processing and improves the compression rate of the same quality image in comparison with the existing JPEG-like image compression algorithms.
Specifically, mean information entropy and multifeature saliency indexes are used to provide a basis for adaptive blocking and observing, respectively, joint model and curve fitting are adopted for bit rate control, and a noise analysis model is introduced to improve the antinoise capability of the current JPEG decoding algorithm.
Experimental results show that the proposed method has good performance of fidelity and antinoise, especially at a medium compression ratio.
American Psychological Association (APA)
Zhu, Yongjun& Liu, Wenbo& Shen, Qian& Wu, Yin& Bao, Han. 2020. JPEG Lifting Algorithm Based on Adaptive Block Compressed Sensing. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1194089
Modern Language Association (MLA)
Zhu, Yongjun…[et al.]. JPEG Lifting Algorithm Based on Adaptive Block Compressed Sensing. Mathematical Problems in Engineering No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1194089
American Medical Association (AMA)
Zhu, Yongjun& Liu, Wenbo& Shen, Qian& Wu, Yin& Bao, Han. JPEG Lifting Algorithm Based on Adaptive Block Compressed Sensing. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1194089
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194089