Compression of Multispectral Images with Comparatively Few Bands Using Posttransform Tucker Decomposition
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-20
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Up to now, data compression for the multispectral charge-coupled device (CCD) images with comparatively few bands (MSCFBs) is done independently on each multispectral channel.
This compression codec is called a “monospectral compressor.” The monospectral compressor does not have a removing spectral redundancy stage.
To fill this gap, we propose an efficient compression approach for MSCFBs.
In our approach, the one dimensional discrete cosine transform (1D-DCT) is performed on spectral dimension to exploit the spectral information, and the posttransform (PT) in 2D-DWT domain is performed on each spectral band to exploit the spatial information.
A deep coupling approach between the PT and Tucker decomposition (TD) is proposed to remove residual spectral redundancy between bands and residual spatial redundancy of each band.
Experimental results on multispectral CCD camera data set show that the proposed compression algorithm can obtain a better compression performance and significantly outperforms the traditional compression algorithm-based TD in 2D-DWT and 3D-DCT domain.
American Psychological Association (APA)
Li, Jin& Xing, Fei& You, Zheng. 2014. Compression of Multispectral Images with Comparatively Few Bands Using Posttransform Tucker Decomposition. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-461329
Modern Language Association (MLA)
Li, Jin…[et al.]. Compression of Multispectral Images with Comparatively Few Bands Using Posttransform Tucker Decomposition. Mathematical Problems in Engineering No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-461329
American Medical Association (AMA)
Li, Jin& Xing, Fei& You, Zheng. Compression of Multispectral Images with Comparatively Few Bands Using Posttransform Tucker Decomposition. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-461329
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461329