DocumentCode
837068
Title
A neural network based image compression system
Author
Lu, Cheng-Chang ; Shin, Yong Ho
Author_Institution
Dept. of Math. & Comput. Sci., Kent State Univ., OH, USA
Volume
38
Issue
1
fYear
1992
fDate
2/1/1992 12:00:00 AM
Firstpage
25
Lastpage
29
Abstract
It is proposed that vector quantization be implemented for image compression based on neural networks. Separate codebooks for edge and background blocks are designed using Kohonen (1984) self-organizing feature maps to preserve edge integrity and improve the efficiency of codebook design. A system architecture is proposed, and satisfactory performance is achieved
Keywords
data compression; neural nets; picture processing; Kohonen self-organising feature maps; background blocks; codebook design; codebooks; image compression system; neural network; system architecture; system performance; vector quantization; Computer architecture; Computer networks; Computer science; Decoding; Image coding; Image storage; Mathematics; Neural networks; Organizing; Vector quantization;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0098-3063
Type
jour
DOI
10.1109/30.125078
Filename
125078
Link To Document