Title :
A new image coding scheme based upon self organizing maps
Author :
Li, Hongsong ; Li, Da
Author_Institution :
Coll. of Inf. & Commun., Guilin Univ. of Electron. Technolgy, Guilin, China
Abstract :
This paper presents a image coding scheme based upon improved self-organizing neural network, FSOM-VQ-DWT. Firstly original image is predicted by vector quantization (VQ), then the predicted error image is encoded by standard JPEG2000. To improve the performance of VQ codebook, we have proposed a new frequency sensitive self-organizing feature maps (FSOM) algorithm. Experimental results show that the proposed FSOM-VQ-DWT coding scheme can get better coding performance than standard JPEG 2000.
Keywords :
discrete wavelet transforms; image coding; self-organising feature maps; vector quantisation; FSOM-VQ-DWT; JPEG2000; VQ codebook; error image; image coding; self organizing maps; self-organizing neural network; vector quantization; JPEG 2000; discrete wavelet transform; image coding; self-organizing feature maps; vector quantization mp;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645202
