The week's pick
Reseach Article
A Survey on Image Quality Assessment Techniques, Challenges and Databases
Published on December 2015 by
Hiray Yogita V.,
Hemprasad Y. Patil
| National Conference on Advances in Computing |
| Foundation of Computer Science USA |
| NCAC2015 - Number 7 |
| December 2015 |
| Authors: Hiray Yogita V., Hemprasad Y. Patil |
| 46b0aa3c-0e5f-4c23-b3df-72b2f3c78661 |
Hiray Yogita V., Hemprasad Y. Patil . A Survey on Image Quality Assessment Techniques, Challenges and Databases. National Conference on Advances in Computing. NCAC2015, 7 (December 2015), 34-38.
@article{
author = {
Hiray Yogita V.,
Hemprasad Y. Patil
},
title = { A Survey on Image Quality Assessment Techniques, Challenges and Databases },
journal = {
National Conference on Advances in Computing
},
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 7 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = {
34-38
},
numpages = 5,
url = {
/proceedings/ncac2015/number7/23407-5078/
},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Hiray Yogita V.
%A Hemprasad Y. Patil
%T A Survey on Image Quality Assessment Techniques, Challenges and Databases
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 7
%P 34-38
%D 2015
%I International Journal of Computer Applications
Abstract
Growth in digital image processing technologies have completely change our way of life. In our day-to-day life, we are using a number of image processing applications knowingly or unknowingly. Many times image gets distorted somehow during the acquisition, processing, transmission, storing or sharing. So the evaluation of image quality is essential component for many image processing applications. Such image quality assessment techniques are the state-of-the-artresearch area. This paper provides a detailed survey on various image quality assessment methods. This review isprimarily focussed on three objective quality assessment methods viz. (full reference image quality assessment (FR-IQA), reduced reference image quality assessment (RR-IQA), and No reference image quality assessment (NR-IQA). An extensive review on various publically available research databases has been presented.
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Index Terms
Computer Science
Information Sciences
Keywords