NDLI: Spectral Density Driven Wavelet Representation of 2-D Images

Content Provider	IEEE Xplore Digital Library
Author	Jiwani, L.K. Joshi, S.D. Visweswaran, G.S.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Indian Inst. of Technol., Delhi (Jiwani, L.K.; Joshi, S.D.; Visweswaran, G.S.)
Abstract	The representation of images is a fundamental issue. Wavelet transform is the foundation on which the state of the art still-image compression algorithms are based. These algorithms exploit good energy compaction property of wavelet representation. In this work we propose a new paradigm in the wavelet based image representation. The proposed work uses the spectral property of a given image for the representation and can be applied to images having arbitrary spectra. The method is valid for both orthogonal as well as biorthogonal wavelets. The existing wavelet based schemes give good compression performance for images having spectra, which are dominantly low pass and where the signal energy decreases with increasing frequency. The simulation results clearly demonstrate the superior energy compaction property of the proposed scheme when compared with the standard wavelet representation
Starting Page	138
Ending Page	143
File Size	555440
Page Count	6
File Format	PDF
ISBN	0780397533
DOI	10.1109/ISSPIT.2006.270785
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Compaction Image coding Frequency Filters Wavelet coefficients Partitioning algorithms Image representation Energy resolution Signal resolution wavelet and energy compaction signal conditioning
Content Type	Text
Resource Type	Article

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