Title :
Group testing for image compression
Author :
Hong, Edwin S. ; Ladner, Richard E.
Author_Institution :
Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
fDate :
8/1/2002 12:00:00 AM
Abstract :
This paper presents group testing for wavelets (GTW), a novel embedded-wavelet-based image compression algorithm based on the concept of group testing. We explain how group testing is a generalization of the zerotree coding technique for wavelet-transformed images. We also show that Golomb coding is equivalent to Hwang´s group testing algorithm (Du and Hwang 1993). GTW is similar to SPIHT (Said and Pearlman 1996) but replaces SPIHT´s significance pass with a new group testing based method. Although no arithmetic coding is implemented, GTW performs competitively with SPIHT´s arithmetic coding variant in terms of rate-distortion performance.
Keywords :
data compression; image coding; rate distortion theory; transform coding; wavelet transforms; GTW; Golomb coding; Hwang´s group testing algorithm; SPHIT; embedded-wavelet-based algorithm; group testing for wavelets; image compression; rate-distortion performance; wavelet-transformed images; zerotree coding technique; Arithmetic; Computer science; Data compression; Entropy; Image coding; Rate-distortion; Streaming media; Testing; Wavelet coefficients; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2002.801124