Neural network approach to adaptive image enhancement

Ling Guan

doi:10.1117/12.58382

1 April 1992 Neural network approach to adaptive image enhancement

Ling Guan

Proceedings Volume 1658, Nonlinear Image Processing III; (1992) https://doi.org/10.1117/12.58382
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

This paper introduces a two-stage adaptive filter for digital image enhancement. This filter has good edge preservation as well as optical enhancement characteristics. The first stage of the filter uses a set of three-layer perceptron neural networks to predict the location of edges. As a result, a piecewise linear model for the image is obtained. With that knowledge, the second stage uses a neural network similar to Hopfield-Tank network to optimally smooth the image to fit the model.

Citation Download Citation

Ling Guan "Neural network approach to adaptive image enhancement", Proc. SPIE 1658, Nonlinear Image Processing III, (1 April 1992); https://doi.org/10.1117/12.58382

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