Adaptive image interpolation using probabilistic neural network

Authors:
Sheng-Hsien Hsieh;Ching-Han Chen
Affiliations:
Department of Electrical Engineering, I-Shou University, Kaohsiung County, Taiwan;Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 3
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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.