Combining Fuzzy Logic and Kriging for Image Enhancement

Mirza, Anwar M.; Munir, Badre

doi:10.1007/3-540-31182-3_42

Cited by 2 publications

(1 citation statement)

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“…This article is an extension of our previous work (Mirza and Munir, 2004;Mirza et al, 2007) and aims at improving upon the existing fuzzy-kriging approach by proposing a new approach based on the concepts of fuzzy logic, punctual kriging, and genetic programming. This article makes the following contributions to image restoration:…”

Section: Introductionmentioning

confidence: 99%

A hybrid image restoration approach: Using fuzzy punctual kriging and genetic programming

Chaudhry

Khan

Ali

et al. 2007

Int J Imaging Syst Tech

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We present an intelligent technique for image denoising problem of gray level images degraded with Gaussian white noise in spatial domain. The proposed technique consists of using fuzzy logic as a mapping function to decide whether a pixel needs to be krigged or not. Genetic programming is then used to evolve an optimal pixel intensity-estimation function for restoring degraded images. The proposed system has shown considerable improvement when compared both qualitatively and quantitatively with the adaptive Wiener filter, methods based on fuzzy kriging, and a fuzzy-based averaging technique. Experimental results conducted using an image database confirms that the proposed technique offers superior performance in terms of image quality measures. This also validates the use of hybrid techniques for image restoration.

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Section: Introductionmentioning

confidence: 99%