Multiband CCD Image Compression for Space Camera with Large Field of View
Joint Authors
Li, Jin
Xing, Fei
Sun, Ting
You, Zheng
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Space multiband CCD camera compression encoder requires low-complexity, high-robustness, and high-performance because of its captured images information being very precious and also because it is usually working on the satellite where the resources, such as power, memory, and processing capacity, are limited.
However, the traditional compression approaches, such as JPEG2000, 3D transforms, and PCA, have the high-complexity.
The Consultative Committee for Space Data Systems-Image Data Compression (CCSDS-IDC) algorithm decreases the average PSNR by 2 dB compared with JPEG2000.
In this paper, we proposed a low-complexity compression algorithm based on deep coupling algorithm among posttransform in wavelet domain, compressive sensing, and distributed source coding.
In our algorithm, we integrate three low-complexity and high-performance approaches in a deeply coupled manner to remove the spatial redundant, spectral redundant, and bit information redundancy.
Experimental results on multiband CCD images show that the proposed algorithm significantly outperforms the traditional approaches.
American Psychological Association (APA)
Li, Jin& Xing, Fei& Sun, Ting& You, Zheng. 2014. Multiband CCD Image Compression for Space Camera with Large Field of View. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-467019
Modern Language Association (MLA)
Li, Jin…[et al.]. Multiband CCD Image Compression for Space Camera with Large Field of View. Journal of Applied Mathematics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-467019
American Medical Association (AMA)
Li, Jin& Xing, Fei& Sun, Ting& You, Zheng. Multiband CCD Image Compression for Space Camera with Large Field of View. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-467019
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467019