NDLI: Gradient information-based image quality metric

Content Provider	IEEE Xplore Digital Library
Author	Dong-O Kim Ho-Sung Han Rae-Hong Park
Copyright Year	1975
Abstract	In this paper, we propose a new image quality metric using the gradient information. When an image is degraded, the difference exists between the reference and distorted images. This difference is an important factor in image quality assessment. To assess the quality of an image, we use gradient information of the pixels having large differences between the reference and distorted images. In this paper, the Harris response (HR), a well-known feature, is used to obtain the gradient information for assessing the image quality. That is, HR values at pixels having the nonzero difference between the reference and distorted images are compared for evaluating the image quality. For detecting these pixels, we use a cross-projection tensor based edge suppression technique. Experimental results with the LIVE data set show the effectiveness of the proposed quality measure.
Sponsorship	IEEE Consumer Electronics Society
File Size	1401044
File Format	PDF
ISSN	00983063
Volume Number	56
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality PSNR Pixel Image edge detection Humans Degradation Distortion measurement Visual perception Video compression Tensile stress DMOS, Gradient projection, Harris response, Image quality assessment
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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