DocumentCode :
2999724
Title :
Tree coding of image sub-bands
Author :
Nanda, Sanjiv ; Pearlman, William A.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
769
Abstract :
It is proved that optimal coding of image subbands achieves the ultimate rate-distortion performance for Gaussian sources with squared-error distortion. Optimal performance is achieved only asymptotically with infinite-size source sequences. The approach of the rate-distortion function of finite-size sequences to its limit is investigated and a bound is derived that shows a potentially closer approach for coding subbands that for the full band. A suboptimal realization of an optimal tree coding method is used to encode both the full-band image and its subbands at 1.0 bit per pixel. The subband tree-coded image is more than 2 dB better in SNR and its overall performance is nearly comparable to that of the best schemes known to date
Keywords :
encoding; errors; picture processing; Gaussian sources; coding subbands; finite-size sequences; full-band image; image subbands; infinite-size source sequences; optimal coding; optimal tree coding method; rate-distortion performance; squared-error distortion; suboptimal realization; Band pass filters; Data engineering; Filtering; Frequency; Image coding; Intrusion detection; Noise shaping; Rate-distortion; Speech coding; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196698
Filename :
196698
Link To Document :
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