所属 明治大学 総合数理学部 職種 専任教授
|標題||Complex Rule-Based Filter for Impulsive Noise|
Reduction in Color Images Optimized by Interactive
|掲載誌名||Proc. ITC-CSCC 2012|
|著者・共著者||Yohei Katsuyama and Kaoru Arakawa|
|概要||A method for removing impulsive noise from color|
images which utilizes noise detection with interactive
evolutionary computing (IEC) is proposed. This system is
realized as a complex rule-based filter composed of median
filters and an interpolative technique. The Median filter is good
for removing impulsive noise but tends to make the image
blurred, while the interpolative filter can avoid blurring, but
cannot remove high-density noise well. Effective noise removal
can be realized by switching them depending on how the noise is
added. Since the performance is influenced by the accuracy of
noise detection, multiple rules with parameters are applied in the
system. In order to optimize these parameters, IEC is adopted.
IEC can also consider human subjective criteria to image quality.
Computer simulations show the high performance of this system
in actual noise reduction for color images.