deposit_your_work

Image Compression using an Efficient Edge Cartoon + Texture Model

Files in this item

Files Size Format View
Wak2002Apr5ImageCompr.PDF 470.2Kb application/pdf Thumbnail
Wak2002Apr5ImageCompr.PS 1.432Mb application/postscript View/Open

Show full item record

Item Metadata

Title: Image Compression using an Efficient Edge Cartoon + Texture Model
Author: Wakin, Michael; Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G.
Type: Conference Paper
Keywords: wavelets; wedgelets; edge cartoon; image compression
Publisher: IEEE Computer Society
Citation: M. Wakin, J. Romberg, H. Choi and R. G. Baraniuk,"Image Compression using an Efficient Edge Cartoon + Texture Model," in Data Compression Conference,, pp. 43-52.
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.
Date Published: 2002-04-01

This item appears in the following Collection(s)

  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.