DocumentCode :
3571699
Title :
A new technique for adaptive scalar quantization of image sub-band coefficients
Author :
Kurdziel, Michael ; Acharya, Raj
Author_Institution :
RF Commun. Div., Harris Corp., Rochester, NY, USA
Volume :
1
fYear :
1998
Firstpage :
350
Abstract :
A new method for adaptive scalar quantization of image sub-band coefficients has been developed. This method is based on a phase dispersion technique originally developed for the design of pulse compression radar signals. For this method, the coefficient magnitudes and signs are coded separately. The magnitudes are scanned into a set of 1-D same orientation, cross-band vectors. Each vector is processed using a non-linear transformation. The result of this operation is a vector whose components are approximately identically distributed. Therefore, only one quantizer and one entropy coder are needed to code each vector. The technique offers the performance of a fully adaptive compression scheme, but with modest overhead and computational requirements. This paper provides an overview of the method as well as experimental results obtained through simulation
Keywords :
data compression; entropy codes; image coding; quantisation (signal); transform coding; 1D same orientation vectors; adaptive compression scheme; adaptive scalar quantization; approximately identically distributed components; coefficient magnitudes; coefficient signs; computational requirements; cross-band vectors; entropy coder; experimental results; image sub-band coefficients; nonlinear transformation; overhead; performance; phase dispersion technique; pulse compression radar signals; simulation; Computer science; Decoding; Entropy; Nonlinear distortion; Pulse compression methods; Quantization; Radar imaging; Radio frequency; Signal design; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 1998. MILCOM 98. Proceedings., IEEE
Print_ISBN :
0-7803-4506-1
Type :
conf
DOI :
10.1109/MILCOM.1998.722602
Filename :
722602
Link To Document :
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