caa a22 4500 477073026 CHVBK 20180405111431.0 cr unu---uuuuu 170330e19960601xx s 000 0 eng 10.1007/BF01413742 doi (NATIONALLICENCE)springer-10.1007/BF01413742 Parallel 1D and 2D vector quantizers using a Kohonen neural network [Elektronische Daten] [A. Mohamed, E. Attia] The process of reconstructing an original image from a compressed one is a difficult problem, since a large number of original images lead to the same compressed image and solutions to the inverse problem cannot be uniquely determined. Vector quantization is a compression technique that maps an input set of k-dimensional vectors into an output set of k-dimensional vectors, such that the selected output vector is closest to the input vector according to a selected distortion measure. In this paper, we show that adaptive 2D vector quantization of a fast discrete cosine transform of images using Kohonen neural networks outperforms other Kohonen vector quantizers in terms of quality (i.e. less distortion). A parallel implementation of the quantizer on a network of SUN Sparcstations is also presented. Springer-Verlag London Limited, 1996 Neural networks nationallicence Vector quantizers nationallicence Fast discrete cosine transform nationallicence Adaptation algorithm nationallicence Loosely coupled architecture nationallicence Parallel processing nationallicence Mohamed A. Department of Computer Science, The American University in Cairo, P.O. Box 2511, Cairo, Egypt aut Attia E. Department of Computer Science, The American University in Cairo, P.O. Box 2511, Cairo, Egypt aut Neural Computing & Applications Springer-Verlag 4/2(1996-06-01), 64-71 0941-0643 4:2<64 1996 4 521 https://doi.org/10.1007/BF01413742 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01413742 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mohamed A. Department of Computer Science, The American University in Cairo, P.O. Box 2511, Cairo, Egypt aut NATIONALLICENCE 700 1- Attia E. Department of Computer Science, The American University in Cairo, P.O. Box 2511, Cairo, Egypt aut NATIONALLICENCE 773 0- Neural Computing & Applications Springer-Verlag 4/2(1996-06-01), 64-71 0941-0643 4:2<64 1996 4 521 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer