Survey of Image Denoising Algorithm

M. Nandhini, Dr.T. Nalini


Image denoising is a well explored topic in the field of image processing. The removal of noise from the image is known as denoising. Image denoising is an essential step that involves the manipulation of the image data to produce a visually high quality image. Removing noise from digital image is a big challenge for researchers. Several noise removal algorithms have been proposed till date. Choice of denoising algorithm is applicant dependent and depends upon the type of noise present in the image. Every algorithm has its own assumption, advantage & limitation. This paper presents a comparative study of various image denoising algorithms.

Keywords- Image denoising, Robust outlyingness Ratio (ROR), Non-Local Mean (NLM), Noise Adaptive Fuzzy Switching Median Filter (NAFSM), Fuzzy C-Means (FCM), Adaptive Center Weighted Median Filter (ACWMF), Detail Preserving Variational Method(DPVM), impulse noise , Gaussian noise.

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