NDLI: Comparison of Three Objective Image Quality Measures' Performances

Content Provider	IEEE Xplore Digital Library
Author	Yalazan, H.T.
Copyright Year	2007
Description	Author affiliation: Elektrik-Elektronik Miihendisligi Bolumu, Kaynaklar Univ., Izmir, Turkey (Yalazan, H.T.)
Abstract	The amount of distortion that is introduced by lossy image compression techniques, is evaluated mostly by objective image quality measures in the literature, because performing subjective tests is a difficult and time consuming process. In this study, three different objective image quality measures' performances are evaluated. These quality measures are mean square error (MSE), derivative signal to noise ratio (DSNR) and multiresolution distance measure (MDM). Different measures respond with differing sensitivities to artifacts and distortions. Mean square error responds more to additive noise. Derivative SNR is more sensitive to distortions in edge regions. MDM measures distortions at different resolutions and assigns larger weights to low resolutions. The performances of these measures are evaluated by considering their matches with subjective evaluations. Analysis of variance (ANOVA) technique is used for statistical analysis of these objective quality measures.
Starting Page	1
Ending Page	4
File Size	544762
Page Count	4
File Format	PDF
ISBN	1424407192
DOI	10.1109/SIU.2007.4298607
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-11
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Performance evaluation Image coding Mean square error methods Loss measurement Distortion measurement Noise measurement Signal resolution Analysis of variance Signal to noise ratio
Content Type	Text
Resource Type	Article

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