A Brief Review on Blind Image Quality Evaluation Methods
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10.5120/ijca2017913550 |
Sushilkumar N Holambe, Ulhas B Shinde and Priyanka M Kshirsagar. A Brief Review on Blind Image Quality Evaluation Methods. International Journal of Computer Applications 163(6):24-28, April 2017. BibTeX
@article{10.5120/ijca2017913550,
author = {Sushilkumar N. Holambe and Ulhas B. Shinde and Priyanka M. Kshirsagar},
title = {A Brief Review on Blind Image Quality Evaluation Methods},
journal = {International Journal of Computer Applications},
issue_date = {April 2017},
volume = {163},
number = {6},
month = {Apr},
year = {2017},
issn = {0975-8887},
pages = {24-28},
numpages = {5},
url = {http://www.ijcaonline.org/archives/volume163/number6/27400-2017913550},
doi = {10.5120/ijca2017913550},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
Abstract
Image Quality Assessment plays an important role in various image processing applications. It is still an active area of research. A great deal of effort has been made in recent years to develop objective image quality metrics that correlate well with perceived human quality measurement or subjective methods. Image quality assessment means estimating the quality of an image and it is used for many image processing applications. Image quality can be measured in two ways, subjective and objective method. In Subjective image quality assessment the evaluation of quality by humans is obtained by mean opinion score (MOS) method where in objective evaluation of quality is done by algorithms. It concerned with how image is perceived by a viewer and gives his or her opinion on a particular image and judge quality of the multimedia content. The human eyes extract structural information from the viewing field, so the human visual system is highly adapted for this purpose.
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Keywords
Image quality assessment, objective & subjective method