Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
384517 | Expert Systems with Applications | 2009 | 5 Pages |
Abstract
This paper proposes an image interpolation model based on probabilistic neural network (PNN). The method adjusts automatically the smoothing parameters for varied smooth/edge image region, and takes into consideration both smoothness (flat region) and sharpness (edge region) characteristics at the same model. A single neuron, combined with PSO training, is used for sharpness/smoothness adaptation. Finally, we report the performance of these newly proposed methods in other image interpolation method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sheng-Hsien Hsieh, Ching-Han Chen,