Research Article Open Access

An Efficient Adaptive Linear Filtering Algorithm for Image Restoration Using Inverse Filter

Abstract

In image processing, an efficient method of removing noise from the images, before processing them for further analysis is a great challenge for the researchers. Image denoising occurs due to transmission channel error, camera misfocus, atmospheric turbulence, relative object camera motion etc…Such degradations are unavoidable while a scene is captured through a camera. Restoration of such image is a extremely essential in many practical applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. The kind of noise removal algorithms to remove the noise depends on the type of noise that occur during transmission and capturing .To remove these types of noise we have many filters like mean filter, median ,inverse filter,weiner filter,psudeo inverse filter. No single filter can remove both type of noise. In this paper various special types of noises applying to image and investigates the result of noise reduction techniques by applying the various filter.

M.Hymagayathri, A.Jaya Prakash, T.V. Madhusudhana Rao

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