Title :
Image compression by CNN
Author :
Venetianer, Péter L. ; Roska, Tamás
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549124
