Image compression using an efficient edge cartoon + texture model

M. Wakin; J. Romberg; Hyeokho Choi; R. Baraniuk

doi:10.1109/DCC.2002.999942

Image compression using an efficient edge cartoon + texture model

M. Wakin, J. Romberg, Hyeokho Choi, R. Baraniuk

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

29 Scopus citations

Abstract

Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge singularities, and coding performance suffers significantly as a result. We propose a novel two-stage image coder framework based on modeling images as edge cartoons + textures. In stage 1, we infer and efficiently code the edge information from the image using a multiscale wedgelet decomposition. In stage 2, we code the residual, "edgeless" texture image using a standard wavelet coder. Our preliminary coder improves significantly over standard wavelet coding techniques in terms of visual quality.

Original language	English (US)
Title of host publication	Proceedings - DCC 2002
Subtitle of host publication	Data Compression Conference
Editors	James A. Storer, Martin Cohn
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	43-52
Number of pages	10
Volume	2002-January
ISBN (Electronic)	0769514774
DOIs	https://doi.org/10.1109/DCC.2002.999942
State	Published - Jan 1 2002
Event	Data Compression Conference, DCC 2002 - Snowbird, United States Duration: Apr 2 2002 → Apr 4 2002

Other

Other	Data Compression Conference, DCC 2002
Country/Territory	United States
City	Snowbird
Period	4/2/02 → 4/4/02

Keywords

Chromium
Computed tomography
Data compression
Image coding

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/DCC.2002.999942

Cite this

Image compression using an efficient edge cartoon + texture model. / Wakin, M.; Romberg, J.; Choi, Hyeokho et al.

Proceedings - DCC 2002: Data Compression Conference. ed. / James A. Storer; Martin Cohn. Vol. 2002-January Institute of Electrical and Electronics Engineers Inc., 2002. p. 43-52 999942.

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

Wakin, M, Romberg, J, Choi, H & Baraniuk, R 2002, Image compression using an efficient edge cartoon + texture model. in JA Storer & M Cohn (eds), Proceedings - DCC 2002: Data Compression Conference. vol. 2002-January, 999942, Institute of Electrical and Electronics Engineers Inc., pp. 43-52, Data Compression Conference, DCC 2002, Snowbird, United States, 4/2/02. https://doi.org/10.1109/DCC.2002.999942

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abstract = "Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge singularities, and coding performance suffers significantly as a result. We propose a novel two-stage image coder framework based on modeling images as edge cartoons + textures. In stage 1, we infer and efficiently code the edge information from the image using a multiscale wedgelet decomposition. In stage 2, we code the residual, {"}edgeless{"} texture image using a standard wavelet coder. Our preliminary coder improves significantly over standard wavelet coding techniques in terms of visual quality.",

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AB - Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge singularities, and coding performance suffers significantly as a result. We propose a novel two-stage image coder framework based on modeling images as edge cartoons + textures. In stage 1, we infer and efficiently code the edge information from the image using a multiscale wedgelet decomposition. In stage 2, we code the residual, "edgeless" texture image using a standard wavelet coder. Our preliminary coder improves significantly over standard wavelet coding techniques in terms of visual quality.

KW - Chromium

KW - Computed tomography

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Image compression using an efficient edge cartoon + texture model

Abstract

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Keywords

ASJC Scopus subject areas

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