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A Brief Review on Image Restoration Techniques

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Shilpa Rani, Sonika Jindal, Bhavneet Kaur
10.5120/ijca2016911623

Shilpa Rani, Sonika Jindal and Bhavneet Kaur. A Brief Review on Image Restoration Techniques. International Journal of Computer Applications 150(12):30-33, September 2016. BibTeX

@article{10.5120/ijca2016911623,
	author = {Shilpa Rani and Sonika Jindal and Bhavneet Kaur},
	title = {A Brief Review on Image Restoration Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2016},
	volume = {150},
	number = {12},
	month = {Sep},
	year = {2016},
	issn = {0975-8887},
	pages = {30-33},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume150/number12/26148-2016911623},
	doi = {10.5120/ijca2016911623},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Image restoration is process of recovering the original image by removing noise and blur from image. Image blur is difficult to avoid in many situations like photography, to remove motion blur caused by camera shake, radar imaging to remove the effect of image system response, etc. Image noise is unwanted signal which comes in image from sensor such as thermal or electrical signal and Environmental condition such as rain, snow etc. Researchers have proposed many methods in this regard and in this paper we will examine and discuss different noise and blur models and restoration methods.

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Keywords

Degradation model, image noise and blur model, restoration techniques, point spread function (PSF), peak signal to noise Ratio (PSNR).