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- W2112413732 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." @default.
- W2112413732 created "2016-06-24" @default.
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- W2112413732 date "2003-06-25" @default.
- W2112413732 modified "2023-09-27" @default.
- W2112413732 title "Image compression using an efficient edge cartoon + texture model" @default.
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- W2112413732 doi "https://doi.org/10.1109/dcc.2002.999942" @default.
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