A genetic algorithm for noisy channel color quantization design
作者： A. Malanda-Trigueros , F. Calleja-Garde , A.-R. Figueiras-Vidal
关键词:
摘要: We propose a genetic algorithm for the design of palettes color quantization images in applications compression and transmission through noisy channels. Our includes specific operators channel version widespread generalized Lloyd (GLA) to optimise search. Besides it operates YUV space using weighted distortion measure adequate characteristics eye perception. Simulation tests proved benefit our approach compared previous methods either computational requirements or quality quantized images.
sci-hub.se 参考文章(6)
David E. Goldberg, Genetic algorithms in search, optimization, and machine learning ,(1988)
Tolga Taşdizen, Lale Akarun, Cem Ersoy, Color quantization with genetic algorithms Signal Processing: Image Communication. ,vol. 12, pp. 49- 57 ,(1998) , 10.1016/S0923-5965(97)00035-0
B Freisleben, A Schrader, Color quantization with a hybrid genetic algorithm 6th International Conference on Image Processing and its Applications. ,vol. 1, pp. 86- 90 ,(1997) , 10.1049/CP:19970860
N. Farvardin, A study of vector quantization for noisy channels IEEE Transactions on Information Theory. ,vol. 36, pp. 799- 809 ,(1990) , 10.1109/18.53739
D. Miller, K. Rose, Combined source-channel vector quantization using deterministic annealing IEEE Transactions on Communications. ,vol. 42, pp. 347- 356 ,(1994) , 10.1109/TCOMM.1994.577056
M.T. Orchard, C.A. Bouman, Color quantization of images IEEE Transactions on Signal Processing. ,vol. 39, pp. 2677- 2690 ,(1991) , 10.1109/78.107417