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
fDate :
2/1/1992 12:00:00 AM
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;
Journal_Title :
Consumer Electronics, IEEE Transactions on
