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Proceedings Paper

Unsupervised neural network algorithm for image compression
Author(s): Dejun Cai; Wei Wang; Faguang Wan
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Paper Abstract

This paper proposes an unsupervised learning algorithm for linear neural network (LNN), two activity measurements are designed to classify the image subblocks into four categories. In order to improve the performance of LNN, an adaptive scheme is presented. The simulation results show that better reconstructed image quality is achieved than previous algorithms.

Paper Details

Date Published: 16 December 1992
PDF: 6 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130879
Show Author Affiliations
Dejun Cai, Huazhong Univ. of Science and Technology (China)
Wei Wang, Huazhong Univ. of Science and Technology (China)
Faguang Wan, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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