Effective palette indexing for image compression using self-organization of Kohonen feature map.
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.
Pei
Soo-Chang
SC
Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan, ROC. pei@cc.ee.ntu.edu.tw
Chuang
Yu-Ting
YT
Chuang
Wei-Hong
WH
D000465:Algorithms; D001185:Artificial Intelligence; D003124:Colorimetry / Q000379:methods*; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted