An intelligent image agent based on soft-computing techniques for color image processing

Authors:
Shu-Mei Guo;Chang-Shing Lee;Chin-Yuan Hsu
Affiliations:
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 701, Taiwan, ROC;Department of Information Management, Chang Jung Christian University, Tainan, 711, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 701, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2005

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Abstract

An intelligent image agent based on soft-computing techniques for color image processing is proposed in this paper. The intelligent image agent consists of a parallel fuzzy composition mechanism, a fuzzy mean related matrix process and a fuzzy adjustment process to remove impulse noise from highly corrupted images. The fuzzy mechanism embedded in the filter aims at removing impulse noise without destroying fine details and textures. A learning method based on the genetic algorithm is adopted to adjust the parameters of the filter from a set of training data. By the experimental results, the intelligent image agent achieves better performance than the state-of-the-art filters based on the criteria of Peak-Signal-to-Noise-Ratio (PSNR) and Mean-Absolute-Error (MAE). On the subjective evaluation of those filtered images, the intelligent image agent also results in a higher quality of global restoration.