DocumentCode
303400
Title
Image compression by CNN
Author
Venetianer, Péter L. ; Roska, Tamás
Author_Institution
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Volume
3
fYear
1996
fDate
3-6 Jun 1996
Firstpage
1510
Abstract
This paper presents a very efficient image compression method well suited to the local nature of the CNN Universal Machine. In the case of lossless image compression it outperforms the JPEG image compression standard both in terms of compression efficiency and speed. It performs especially well with radiographical images (mammograms), therefore it is suggested that it could be used as part of a CNN based mammogram analysis system
Keywords
cellular neural nets; data compression; image coding; CNN Universal Machine; compression efficiency; compression speed; lossless image compression; mammogram analysis system; radiographical images; Automation; Biomedical imaging; Cellular neural networks; Image coding; Image converters; Image processing; Matrix converters; Pixel; Quantization; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549124
Filename
549124
Link To Document