Rate-distortion optimized image compression using wedgelets

Michael Wakin; Justin Romberg; Hyeokho Choi; Richard Baraniuk

Rate-distortion optimized image compression using wedgelets

Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk

Houston Methodist

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

44 Scopus citations

Abstract

Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based Space-Frequency Quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Volume	3
State	Published - Jan 1 2002
Event	International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002

Other

Other	International Conference on Image Processing (ICIP'02)
Country/Territory	United States
City	Rochester, NY
Period	9/22/02 → 9/25/02

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Hardware and Architecture
Electrical and Electronic Engineering

Cite this

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title = "Rate-distortion optimized image compression using wedgelets",

abstract = "Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based Space-Frequency Quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique.",

author = "Michael Wakin and Justin Romberg and Hyeokho Choi and Richard Baraniuk",

year = "2002",

month = jan,

day = "1",

language = "English",

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booktitle = "IEEE International Conference on Image Processing",

note = "International Conference on Image Processing (ICIP'02) ; Conference date: 22-09-2002 Through 25-09-2002",

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T1 - Rate-distortion optimized image compression using wedgelets

AU - Wakin, Michael

AU - Romberg, Justin

AU - Choi, Hyeokho

AU - Baraniuk, Richard

PY - 2002/1/1

Y1 - 2002/1/1

N2 - Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based Space-Frequency Quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique.

AB - Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based Space-Frequency Quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique.

UR - https://www.scopus.com/pages/publications/0036451817

UR - https://www.scopus.com/inward/citedby.url?scp=0036451817&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0036451817

VL - 3

BT - IEEE International Conference on Image Processing

T2 - International Conference on Image Processing (ICIP'02)

Y2 - 22 September 2002 through 25 September 2002

ER -

Rate-distortion optimized image compression using wedgelets

Abstract

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ASJC Scopus subject areas

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