Image Compression using an Efficient Edge Cartoon + Texture Model

Authors:
Michael Wakin;Justin Romberg;Hyeokho Choi;Richard Baraniuk
Affiliations:
-;-;-;-
Venue:
DCC '02 Proceedings of the Data Compression Conference
Year:
2002

Citing 3
Cited 3

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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. In this paper, 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.