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Group testing for image compression


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 gro...Show More

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.
Published in: IEEE Transactions on Image Processing ( Volume: 11, Issue: 8, August 2002)
Page(s): 901 - 911
Date of Publication: 31 August 2002

ISSN Information:

PubMed ID: 18244684
Citations are not available for this document.

I. Introduction

Many recent image coding techniques for generating an embedded bit stream rely on coding wavelet coefficients of an image bit-plane by bit-plane, with the most significant bit-plane first. Embedded image coders such as EZW [1], SPIHT [2], and ECECOW [3], differ chiefly in the method of encoding bit-planes.

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