Image Compression using an Efficient Edge Cartoon + Texture Model

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.

• Type: Conference
• Year: 2002
• Where: DCC
• Authors: Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
• Keywords: Computer Graphics, DCC 2002, Standard Wavelet Coder, Two-stage Image Coder, Wavelet-based Image Coders