News Updates Tuesday 23rd Oct 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Sept/Oct 2018 extended to 25 Oct 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

A Comparative Approach for Analysis of Image Restoration using Image Deblurring Techniques


Author : Pooja Dhole and Nitin Chopde

Pages : 1046-1049
Download PDF
Abstract

Image restoration is a very important factor in high level image processing which deals with recovering of an original, cleared sharp image using a various algorithms and techniques. Certain time during image capturing process degradation i.e image degradation occurs. Image restoration is used to get the original sharp image from the corrupted data. This research paper is aim to provide a comparative overview of most useful fast restoration of degraded image .Different types of image deblurring techniques are Wiener Filter, Neural Network Approach, Iterative Richardson-Lucy Algorithm, Laplacian Sharpening Filter described. The strength and weakness of each approach are identified and applications are also described so that the best fast image deblurring technique is comparatively sorted out.

Keywords: Wiener Filter, Neural Network Approach, Iterative Richardson-Lucy Algorithm, Laplacian Sharpening Filter.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.2 (April-2015)

 

Call for Papers
  1. IJCET- Sept/Oct 2018 Issue

    Submission Last Date
    25 Oct
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Dec-2018
  5. IJAIE-Dec-2018
  6. IJCSB-Dec-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved