DocumentCode :
779802
Title :
Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization
Author :
Tseng, Huey-Chen ; Fischer, Thomas R.
Author_Institution :
Univ. of Houston, TX, USA
Volume :
35
Issue :
1
fYear :
1987
fDate :
1/1/1987 12:00:00 AM
Firstpage :
79
Lastpage :
86
Abstract :
The transform and hybrid transform/DPCM methods of image coding are generalized to allow pyramid vector quantization of the transform coefficients. An asymptotic mean-squared error performance expression is derived for the pyramid vector quantizer and used to determine the optimum rate assignment for encoding the various transform coefficients. Coding simulations for two images at average rates of 0.5-1 bit/pixel demonstrate a 1-3 dB improvement in signal-to-noise ratio for the vector quantization approach in the hybrid coding, with more modest improvements in signal-to-noise ratio in the transform coding. However, this improvement is quite noticeable in image quality, particularly in reducing "blockiness" in the low bit rate encoded images.
Keywords :
Differential pulse-code modulation; Image coding; Quantization; Discrete cosine transforms; Discrete transforms; Encoding; Image coding; Image quality; Laplace equations; Pixel; Signal to noise ratio; Transform coding; Vector quantization;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOM.1987.1096668
Filename :
1096668
Link To Document :
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