NDLI: A new no-reference image quality measure to determine the quality of a given image using object separability

Content Provider	IEEE Xplore Digital Library
Author	De, K. Masilamani, V.
Copyright Year	2012
Description	Author affiliation: Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai - 600 127, India (De, K.; Masilamani, V.)
Abstract	The goal of researchers in the field of Image Quality Assessment is to quantify quality of an image using a mathematical measure and to design algorithms for computing the measure. The traditional method of doing this involves taking a reference image and a test image of same scene and find differences between the two images. As human eye can differentiate between a good quality image and a distorted one without the use of reference image, in this paper we propose a no-reference image quality measure which will differentiate between a good image and distorted image by calculating certain properties of images based on object separability in the image.
Starting Page	92
Ending Page	95
File Size	1218867
Page Count	4
File Format	PDF
ISBN	9781467323192
e-ISBN	9781467323222
DOI	10.1109/MVIP.2012.6428768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-14
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	No-Reference image quality Image segmentation PSNR Noise Image Quality Distortion measurement Noise measurement
Content Type	Text
Resource Type	Article

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A new no-reference image quality measure to determine the quality of a given image using object separability