Paper
1 April 1992 Neural network approach to adaptive image enhancement
Ling Guan
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image enhancement

Digital filtering

Neural networks

Neurons

Image segmentation

Image filtering

Nonlinear filtering

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