DocumentCode
398321
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
Volume
2
fYear
2003
fDate
14-17 Sept. 2003
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1246668
Filename
1246668
Link To Document