A ghosting artifact detector for interpolated image quality assessment
We present a no-reference image quality metric for image interpolation. The approach is capable of detecting blurry regions as well as ghosting artifacts, e.g., in image based rendering scenarios. Based on the assumption that ghosting artifacts can be detected locally, perceived visual quality can be predicted from the amount of regions that are affected by ghosting. Because the approach does not require any reference image, it is very suitable, e.g., for assessing quality of image-based rendering techniques in general settings.
Author(s): | Kai Berger, Christian Lipski, Christian Linz, Anita Sellent, Marcus Magnor |
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Published: | June 2010 |
Type: | Article in conference proceedings |
Book: | Proc. IEEE International Symposium on Consumer Electronics (ISCE) |
Presented at: | IEEE International Symposium on Consumer Electronics (ISCE) |
Project(s): | Virtual Video Camera Video Quality Assessment |
@inproceedings{Berger10Ghosting, title = {A ghosting artifact detector for interpolated image quality assessment}, author = {Berger, Kai and Lipski, Christian and Linz, Christian and Sellent, Anita and Magnor, Marcus}, booktitle = {Proc. {IEEE} International Symposium on Consumer Electronics ({ISCE})}, month = {Jun}, year = {2010} }
Authors
Kai Berger
Fmr. ResearcherChristian Lipski
Fmr. Senior ResearcherChristian Linz
Fmr. ResearcherAnita Sellent
Fmr. Senior ResearcherMarcus Magnor
Director, Chair