| 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. |
