Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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

Authors
S. Shigwan, G. Birajdar
Corresponding Author
S. Shigwan
Available Online December 2016.
DOI
https://doi.org/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
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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
DOI
https://doi.org/10.2991/iccasp-16.2017.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccasp-16.2017.61
DO  - https://doi.org/10.2991/iccasp-16.2017.61
ID  - Shigwan2016/12
ER  -