NDLI: Image compression with singularity preservation

Content Provider	IEEE Xplore Digital Library
Author	Langi, A. Kinsner, W.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada (Langi, A.)
Abstract	This paper presents a new approach to lossy image compression through singularity preservation to obtain high compression ratios. The concept of this approach is based on a conjecture that image singularities carry most of the perceptual information, hence the essential part of an image should be represented by its singularity as opposed to its energy alone. Wavelet maxima have been chosen to represent signal singularity because of their ability to characterize image singularity fully. There are algorithms to reconstruct the original image faithfully from wavelet maxima. A compression scheme can then be designed to reduce the bit rate while preserving singularities. The resulting low bit-rate image has sharp edges without distortions, such as blockiness or blurs. This approach has been used to compress aerial ortho images, in which the perceptual quality of a 27 peak signal-to-noise ratio (PSNR) singularity-preserving image outperforms that of a 30 dB PSNR energy-preserving joint-photographic expert group (JPEG) image at a 15:1 compression ratio.
Starting Page	894
Ending Page	898
File Size	716216
Page Count	5
File Format	PDF
ISBN	0780331435
ISSN	08407789
DOI	10.1109/CCECE.1996.548297
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Image reconstruction PSNR Pixel Humans Transform coding Wavelet transforms Image storage Data compression Laboratories
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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