The error resilient entropy code applied to zerotree coded image data

Author

Whitehouse, Steven ; Kingsbury, Nick

Author_Institution

Dept. of Eng., Cambridge Univ., UK

fYear

1999

fDate

1999

Firstpage

425

Lastpage

430

Abstract

Zerotree based methods provide some of the best image compression currently available in terms of rate-distortion. They are however susceptible to any errors which may be introduced by wireless transmission. We consider three methods of enhancing the resilience of the popular Said and Pearlman (see IEEE Trans. Image Processing, vol.6, no.10, p.1436-41, 1997) zerotree image compression algorithm. One method has been previously proposed by Creusere (see IEEE Trans. on Circuits and Systems for Video Technology, vol.6, no.3, p.243-50, 1996), which we include for reference. We then include two solutions of our own based upon the error resilient entropy code (EREC)

Keywords

data compression; entropy codes; image coding; rate distortion theory; trees (mathematics); error resilient entropy code; image coding; image compression; rate-distortion; wireless transmission; zerotree coded image data; zerotree image compression algorithm; Automatic repeat request; Data engineering; Decoding; Degradation; Entropy; Error correction codes; Image coding; Robustness; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1999 IEEE 3rd Workshop on

Conference_Location

Copenhagen

Print_ISBN

0-7803-5610-1

Type

conf

DOI

10.1109/MMSP.1999.793884

Filename

793884