DocumentCode :
2387174
Title :
High fidelity and lower bit-rate predicted image coding system
Author :
Tsang, Peter W M ; Lee, W.T.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume :
2
fYear :
1996
fDate :
26-29 Nov 1996
Firstpage :
780
Abstract :
Vector quantization (VQ) is a popular method commonly used in low cost compression of still image. However, there are a number of disadvantages such as high complexity of the encoder and the blocking effect in the decoded image. These problems can be partially overcome by predicted vector quantization (PVQ) which employs spatial prediction to reduce the complexity of the encoder and to improve the pictorial quality. Three novel predictive schemes that are applied to the existing PVQ system are introduced. From the experimental results, the improvement of the suggested scheme is significant both in quantitative and qualitative tests
Keywords :
channel capacity; decoding; image coding; prediction theory; vector quantisation; PVQ system; blocking effect; decoded image; encoder complexity; experimental results; high fidelity image coding system; low bit rate coding; pictorial quality; predicted image coding system; predicted vector quantization; predictive schemes; qualitative tests; quantitative tests; spatial prediction; still image compression; vector quantization; Approximation methods; Bit rate; Costs; Decoding; Image coding; Image reconstruction; Pixel; Signal processing; Testing; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
Type :
conf
DOI :
10.1109/TENCON.1996.608444
Filename :
608444
Link To Document :
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