NDLI: Jointly optimal classification and uniform threshold quantization in entropy constrained subband image coding

Content Provider	IEEE Xplore Digital Library
Author	Hjorungnes, A. Lervik, J.M.
Copyright Year	1997
Description	Author affiliation: Dept. of Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway (Hjorungnes, A.)
Abstract	A method for coding a source modeled by an infinite Gaussian mixture distribution is proposed. The source is first split into N classes. The samples of each class are then quantized by an infinite-level uniform threshold quantizer followed by an entropy coder designed for each class. The problem of joint optimization of this system's rate distortion performance is first solved theoretically, assuming an exponential mixing density. A comparison to a system optimal for high rates, using one common quantizer for all classes, showed that for a fixed distortion the rate was reduced by 11-12% at low rates for a fixed N=5. A subband image coder, using the optimum theoretical parameter values was simulated. The resulting coder has high performance and low complexity.
Starting Page	3109
Ending Page	3112
File Size	415955
Page Count	4
File Format	PDF
ISBN	0818679190
ISSN	15206149
DOI	10.1109/ICASSP.1997.595450
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-04-21
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Statistical distributions Rate-distortion Filter bank Entropy coding Frequency Optimization methods Rate distortion theory Vector quantization Inspection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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