Title :
Low bitrate image compression using self-organized Kohonen maps
Author :
Harandi, Mehrtash T. ; Gharavi-Alkhansari, Mohammad
Author_Institution :
Dept. of Electr. & Comput. Eng., Tehran Univ., Iran
Abstract :
In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. (1998) and shows better subjective results in comparison to JPEG.
Keywords :
discrete cosine transforms; image coding; self-organising feature maps; vector quantisation; DCT coefficient; JPEG; Joint Photographic Experts Group; VQ; image block; low bitrate image compression; self-organized Kohonen maps; vector quantization; Bit rate; Compression algorithms; Discrete cosine transforms; Entropy; Image coding; Image processing; Neural networks; Self organizing feature maps; Transform coding; Vector quantization;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246668
