Unsupervised neural network algorithm for image compression

Dejun Cai; Wei Wang; Faguang Wan

doi:10.1117/12.130879

16 December 1992 Unsupervised neural network algorithm for image compression

Dejun Cai, Wei Wang, Faguang Wan

Proceedings Volume 1766, Neural and Stochastic Methods in Image and Signal Processing; (1992) https://doi.org/10.1117/12.130879
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Dejun Cai, Wei Wang, and Faguang Wan "Unsupervised neural network algorithm for image compression", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130879

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