基于Kohonen特征图自组织的有效调色板索引用于图像压缩

Effective palette indexing for image compression using self-organization of Kohonen feature map.

作者信息

Pei Soo-Chang, Chuang Yu-Ting, Chuang Wei-Hong

机构信息

Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan, ROC.

出版信息

IEEE Trans Image Process. 2006 Sep;15(9):2493-8. doi: 10.1109/tip.2006.877417.

DOI:10.1109/tip.2006.877417

PMID:16948296

Abstract

The process of limited-color image compression usually involves color quantization followed by palette re-indexing. Palette re-indexing could improve the compression of color-indexed images, but it is still complicated and consumes extra time. Making use of the topology-preserving property of self-organizing Kohonen feature map, we can generate a fairly good color index table to achieve both high image quality and high compression, without re-indexing. Promising experiment results will be presented.

摘要

有限颜色图像压缩过程通常包括颜色量化，然后是调色板重新索引。调色板重新索引可以提高索引色图像的压缩率，但它仍然很复杂且会消耗额外时间。利用自组织Kohonen特征映射的拓扑保持特性，我们可以生成一个相当好的颜色索引表，无需重新索引即可实现高图像质量和高压缩率。将展示有前景的实验结果。