ANALYSIS OF IMAGE RESTORATION TECHNIQUES

Authors

  • Miss Ankita Sonwani M.Tech. Scholar, CSE Department, RITEE, Raipur
  • Mr. Yogesh Kumar Rathore Asst.Professor, CSE Department, RITEE, Raipur

Keywords:

Image Restoration, Noise, Blur, Degraded Image, Filters

Abstract

In high level image processing,Restoration of image plays a key role.It deals with recovering of an original and
sharp image using a deterioration and restoration strategy. During image acquisition process degradation occurs as a
result of noise,blur etc. Image restoration is applied to acquire the initial image from the degraded data. Aim of this
analysis paper is to provide a brief summary of some helpful restoration models .Different types of image restoration
techniques like wiener filter, inverse filter, mean filter,adaptive histogram equalization approach,regular filter, Lucy
Richardson formula, neural network approach are described

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Published

2016-03-25

How to Cite

Miss Ankita Sonwani, & Mr. Yogesh Kumar Rathore. (2016). ANALYSIS OF IMAGE RESTORATION TECHNIQUES. International Journal of Advance Research in Engineering, Science & Technology, 5(3), 252–258. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1201

Issue

Vol. 5 No. 3 (2018): Volume: 05, Issue: 03 - March, 2018.

Section

Articles