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A Survey Paper on Image Denoising Technique for Satellite Images

Roopali Arya, Nirupama Tiwari

Abstract


Abstract

Image denoising (ID) is a material issue found in various image processing (IP) and PC vision issues. There are numerous techniques of denoising images. The most necessary property of ID model is that it ought to totally diminish clamor, however much as could reasonably be expected and edge conservation. This paper gives a knowledge perspective of some real work in the field of ID. Specialists have distributed numerous calculations in the field of ID which have numerous presumptions, focal points and in addition, constraints. We are using satellite images for removing Gaussian noise that are type of image denoising. Satellite images are corrupted by noise in its acquisition and transmission. After brief presentation, different techniques have been explained for removing noise.

Keywords: Image denoising, filtering, noise models, linear and non-linear filters, Gaussian filter

Cite this Article

Roopali Arya, Nirupama Tiwari. A Survey Paper on Image Denoising Technique for Satellite Images. Journal of Artificial Intelligence Research & Advances. 2017; 4(2): 1–9p.


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