Title :
Parallel answer-in-weights neural network implementation for image preprocessing
Author :
Valova, Iren ; Kosugi, Yukio
Author_Institution :
Interdisciplinary Graduate Sch. & Sci. & Eng., Tokyo Inst. of Technol., Japan
Abstract :
A neural network for image preprocessing is utilized for a parallel neurocomputer. The algorithm is based on an inverse approach and provides lossless decomposition and high rate compression of grey scale pictures with dimensions 128×128 pixel. The basic properties of the method are discussed and demonstrated by examples. The network is easily expandable for the purposes of image segmentation or feature extraction
Keywords :
image processing; neural nets; parallel architectures; feature extraction; grey scale pictures; high rate compression; image preprocessing; image segmentation; inverse approach; lossless decomposition; parallel answer-in-weights neural network; parallel neurocomputer; Feature extraction; Image coding; Image decomposition; Image quality; Image segmentation; Matrix decomposition; Neural network hardware; Neural networks; Pixel; Sun;
Conference_Titel :
Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop
Conference_Location :
Kyoto
Print_ISBN :
0-7803-3550-3
DOI :
10.1109/NNSP.1996.550064
