A Survey Paper on Image Denoising Technique for Satellite Images

Authors

  • 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.

Downloads

Published

2017-07-18

Issue

Vol. 4 No. 2 (2017)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.