Impact of Directional Variograms in Fuzzy Type - II Punctual Kriging based Image Restoration
نویسندگان
چکیده
In this paper, we perform an experimental study to investigate directional variograms in punctual kriging and consequently its effect on image restoration. We employ punctual kriging in conjunction with fuzzy logic typeII and fuzzy smoothing based approaches to remove white Gaussian noise from corrupted images. Images degraded with Gaussian white noise are restored by first utilizing fuzzy logic for selecting pixels that needs kriging. Type-II fuzzy set has been used to generate fuzzy map for detection of noisy pixels. Further, local neighborhood information is used to ensure noise free pixels in 3x3 window to estimate the noisy data. The concept of directional semivariance based punctual kriging is then used to estimate the intensity of a noisy pixel. Image restoration performance based comparison has been made against adaptive Weiner filter and existing fuzzy non-directional kriging approaches. Experimental results on various images and different image quality measures show that directional semivariance may provide information how image data is distributed in different directions but could not play an effective role in punctual kriging based image restoration as compared to non-directional punctual kriging estimation. [Chaudhry A, Kim JY. Impact of Directional Variograms in Fuzzy Type-II Punctual Kriging based Image Restoration. Life Sci J 2013;10(1):1010-1021] (ISSN:1097-8135). http://www.lifesciencesite.com. 157
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