DocumentCode :
2664987
Title :
Vector quantization with adaptive sampling (VQAS)
Author :
Crinon, Regis J. ; Luthra, Ajay
Author_Institution :
Tektronix Lab., Beaverton, OR, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
3126
Abstract :
A vector quantization (VQ) scheme combining conventional VQ and adaptive resampling is proposed. The sampling frequency is relaxed in the uniform area of the picture to provide a high degree of compression, while it is increased in the highly detailed regions of the picture so smaller blocks can be used to help reduce the annoying blocking effects which are noticeable around sharp edges. Several methods for encoding the nonuniform sampling lattice are reviewed
Keywords :
adaptive filters; data compression; encoding; picture processing; adaptive resampling; adaptive sampling; encoding; image processing; nonuniform sampling lattice; vector quantization; Frequency; Image coding; Image processing; Iterative algorithms; Laboratories; Pixel; Sampling methods; Signal processing; Signal sampling; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112674
Filename :
112674
Link To Document :
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