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Performance Analysis of Image Restoration Techniques for Dermoscopy Images

Mehmet Ali Altuncu, Fidan Kaya Gülagiz, Fatma Selin Hangisi, Suhap Sahin

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Mehmet Ali Altuncu, Fidan Kaya Gülagiz, Fatma Selin Hangisi, Suhap Sahin
10.5120/ijais2017451637
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  1. Mehmet Ali Altuncu, Fidan Kaya Glagiz, Fatma Selin Hangisi and Suhap Sahin. Performance Analysis of Image Restoration Techniques for Dermoscopy Images. International Journal of Applied Information Systems 11(8):15-19, January 2017. URL, DOI BibTeX

    @article{10.5120/ijais2017451637,
    	author = "Mehmet Ali Altuncu and Fidan Kaya Glagiz and Fatma Selin Hangisi and Suhap Sahin",
    	title = "Performance Analysis of Image Restoration Techniques for Dermoscopy Images",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "January 2017",
    	volume = 11,
    	number = 8,
    	month = "Jan",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "15-19",
    	numpages = 5,
    	url = "http://www.ijais.org/archives/volume11/number8/958-2017451637",
    	doi = "10.5120/ijais2017451637",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

Image enhancement and image restoration methods are widely used in most of the recent image processing studies. The main purpose of image enhancement is to remove noise from the image albeit different kinds. Therefore, in every field where image processing methods are used, image enhancement methods are more or less needed. And dermatological images, in which mostly image quality is inadequate most of the time, are one of the primary fields where these techniques are needed. Dermatologists that work in this field carry out the recording of wound images via a digital dermoscopy device. Later they realize the decision-making process using the image processing techniques through software. And in this study, the comparison of different image preprocessing methods is carried out in order to remove the effects of lighting and to make the software used give more accurate decisions.

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Keywords

Image Restoration, Dermoscopy Images, Image Quality Assessment