High performance scalable image compression with EBCOT

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High performance scalable image compression with EBCOT (2000)

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by David Taubman

Venue:	IEEE Trans. Image Processing
Citations:	586 - 11 self

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@ARTICLE{Taubman00highperformance,
    author = {David Taubman},
    title = {High performance scalable image compression with EBCOT},
    journal = {IEEE Trans. Image Processing},
    year = {2000},
    pages = {1158--1170}
}

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Abstract

A new image compression algorithm is proposed, based on independent Embedded Block Coding with Optimized Truncation of the embedded bit-streams (EBCOT). The algorithm exhibits state-of-the-art compression performance while producing a bit-stream with a rich feature set, including resolution and SNR scalability together with a random access property. The algorithm has modest complexity and is extremely well suited to applications involving remote browsing of large compressed images. The algorithm lends itself to explicit optimization with respect to MSE as well as more realistic psychovisua1 metrics, capable of modeling the spatially varying visual masking phenomenon.

Keyphrases

high performance scalable image compression rich feature embedded bit-streams snr scalability independent embedded block coding modest complexity random access property new image compression algorithm optimized truncation realistic psychovisua1 metric remote browsing large compressed image algorithm exhibit state-of-the-art compression performance visual masking phenomenon

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