DocumentCode
423634
Title
The treatment of image boundary effects in CMAC networks
Author
Lu, Hung-Ching ; Tao, Ted
Author_Institution
Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
Volume
2
fYear
2004
fDate
25-29 July 2004
Firstpage
867
Abstract
This paper proposes a novel coding procedure which makes two dimension CMAC networks learn the feature of transmitted image without boundary effects. As a result, the reconstructed image from the proposed CMAC networks gets higher PSNR. Finally, we apply CMAC networks to JPEG compression. Experimental results demonstrate that the presented method can get higher PSNR at lower bit rate after reconstruction.
Keywords
cerebellar model arithmetic computers; data compression; image coding; image reconstruction; learning (artificial intelligence); variable rate codes; CMAC networks; JPEG compression; PSNR; bit rate; image boundary effect treatment; image coding procedure; image feature learning; image reconstruction; Discrete Fourier transforms; Discrete wavelet transforms; Fast Fourier transforms; Image coding; Image reconstruction; Image storage; Intelligent networks; Neural networks; PSNR; Pulse modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380043
Filename
1380043
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