| Paper: | WP-L1.1 |
| Session: | Soft Computing in Image Processing: Recent Advances |
| Time: | Wednesday, September 19, 14:30 - 14:50 |
| Presentation: |
Special Session Lecture
|
| Title: |
A NOVEL IMAGE RE-INDEXING BY SELF ORGANIZING MOTOR MAPS |
| Authors: |
Sebastiano Battiato; University of Catania | | |
| | Francesco Rundo; University of Catania | | |
| | Filippo Stanco; University of Catania | | |
| Abstract: |
Palette re-ordering is a well known and very effective approach for improving the compression of color indexed images. If the spatial distribution of the indexes in the image is smooth, greater compression ratios may be obtained. As known, obtaining an optimal re-indexing scheme is not a trivial task. In this paper we provide a novel algorithm for palette re-ordering problem making use of a Motor Map neural network. Experimental results show the real effectiveness of the proposed method both in terms of compression ratio and zero orderentropy of local differences. Also its computational complexity is competitive with previous works in the field. |
