2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TA-L6.3
Session:Image Coding II
Time:Tuesday, September 18, 10:30 - 10:50
Presentation: Lecture
Title: GRAPH-CUT RATE DISTORTION ALGORITHM FOR CONTOURLET-BASED IMAGE COMPRESSION
Authors: Maria Trocan; GET / Telecom Paris 
 Beatrice Pesquet-Popescu; GET / Telecom Paris 
 James E. Fowler; Mississippi State University 
Abstract: The geometric features of images, such as edges, are difficult to represent. When a redundant transform is used for their extraction, the compression challenge is even more difficult. In this paper we present a new rate-distortion optimization algorithm based on graph theory that can encode efficiently the coefficients of a critically sampled or even redundant transform, like the countourlet decomposition. The basic idea is to construct a specialized graph such that its minimum cut minimizes the energy functional. We propose to apply this technique for rate-distortion Lagrangian optimization in subband image coding. The method yields good compression results compared to the state-of-art JPEG2000 codec, as well as a general improvement in visual quality.



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