Image Restoration Technique with Non Linear Filters
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2011 by IJETT Journal|
|Year of Publication : 2011|
|Authors :Charu Khare, Kapil Kumar Nagwanshi|
Charu Khare, Kapil Kumar Nagwanshi. "Image Restoration Technique with Non Linear Filters". International Journal of Engineering Trends and Technology (IJETT),V1(1):1-5 May to June 2011. ISSN:2231-5381. www.ijettjournal.org. Published by Seventh Sense Research Group.
In this paper, we presents a novel approach to process the image using different filtering methods by Image Restoration. The aim is to enhance the digital image, reconstruct it into the original form f rom the noisy image. This paper is an overview of effective algorithms that can be used for image restoration. For which, techniques are used on the basis of non linear filters to restore the image. The performance of Histogram Adaptive Fuzzy (HAF) filter is carefully examined and compared with other filters like, Weighted Fuzzy Mean (WFM) filter, Minimum - maximum Detector Based (MDB) filter, Adaptive Fuzzy Mean (AFMF) filter, Centre Weighted Mean (CWM) filter, and Min - max Exclusive Mean(MMEM) filter on the basis of (Peak Signal to Noise Ration) PSNR. Experimental results on images will illustrate the capabilities of all the studied approaches.
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Image processing, Image Restoration, Fuzzy, Impulse Noise, Filters, Histogram Adaptive Fuzzy Filter, Neur al Network.