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首页> 外文期刊>International Journal of Innovative Computing Information and Control >IMPROVED ADAPTIVE FUZZY PUNCTUAL KRIGING FILTER FOR IMAGE RESTORATION
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IMPROVED ADAPTIVE FUZZY PUNCTUAL KRIGING FILTER FOR IMAGE RESTORATION

机译：用于图像恢复的改进的自适应模糊正点克里金滤波器

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摘要

In this paper, we present an intelligent image restoration approach by combining the geostatistical interpolation technique of punctual kriging, fuzzy logic with type-Ⅱ and fuzzy smoothing based approaches. Images degraded with Gaussian white noise are restored by first utilizing fuzzy logic for selecting pixels that needs kriging. Fuzzy type-Ⅱ inference system is employed. Type-Ⅱ fuzzy set has been used to generate fuzzy map for detection of noisy pixels. This fuzzy map of noisy pixels enhances performance of the proposed technique in terms of image restoration and as well as in terms of computational cost. Local neighborhood information is used to ensure noise free pixels in 3 x 3 window to estimate the noisy data. The concept of 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 kriging approaches. Experimental results using 450 images and different image quality measures show effectiveness of the proposed approach with fuzzy type-Ⅱ for detecting noisy pixels and utilization of local information in conjunction with kriging based estimation.
机译：在本文中，我们结合点准克里金的地统计插值技术，Ⅱ类模糊逻辑和基于模糊平滑的方法，提出了一种智能图像复原方法。通过首先利用模糊逻辑来选择需要克里金法的像素，可以恢复因高斯白噪声而退化的图像。采用模糊Ⅱ型推理系统。 Ⅱ型模糊集已被用于生成模糊图，以检测噪声像素。噪声像素的这种模糊图在图像恢复以及计算成本方面增强了所提出技术的性能。本地邻域信息用于确保3 x 3窗口中的无噪声像素以估计噪声数据。然后使用准时克里金法的概念来估计噪声像素的强度。与自适应Weiner滤波器和现有的模糊克里金方法进行了基于图像恢复性能的比较。使用450张图像和不同图像质量度量的实验结果表明，结合基于克里金法的估计，所提出的模糊Ⅱ型方法可有效检测噪点像素并利用局部信息。

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