Full Reference Image Quality Assessment of Perceptual Distortion based on Image Retargeting

DOI

10.2991/iccasp-16.2017.61How to use a DOI?

Abstract

Image quality assessment is used for automatic evaluation of the image accurately. In this article, objective reference image quality assessment metric is used to evaluate the quality of retargeted images. The metric measures perceptual geometric distortion and information loss of retargeted images using deformable spatial pyramid (DSP) algorithm. NRID and RetargetMe database are employed to measure the performance of the metric. Experimental results shows that the performance of DSP algorithm is superior thanScale-invariant feature transform (SIFT) in terms of runtime and accuracy. Image retargeting, fast dense correspondence, Image quality assessment, deformable spatial pyramid, full reference image quality assessment

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - S. Shigwan
AU  - G. Birajdar
PY  - 2016/12
DA  - 2016/12
TI  - Full Reference Image Quality Assessment of Perceptual Distortion based on Image Retargeting
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 403
EP  - 410
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.61
DO  - 10.2991/iccasp-16.2017.61
ID  - Shigwan2016/12
ER  -