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 |
|---|---|
| Published: | September 2009 |
| Type: | Article in conference proceedings |
| Book: | Proc. ACM Applied Perception in Computer Graphics and Visualization (APGV) |
| Presented at: | ACM Applied Perception in Computer Graphics and Visualization (APGV) |
| Project(s): | Virtual Video Camera Video Quality Assessment |
@inproceedings{Berger09Ghosting,
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. {ACM} Applied Perception in Computer Graphics and Visualization ({APGV})},
organization = {{ACM}},
month = {Sep},
year = {2009}
}Authors
Kai Berger
Fmr. ResearcherChristian Lipski
Fmr. Senior ResearcherChristian Linz
Fmr. ResearcherAnita Sellent
Fmr. Senior ResearcherMarcus Magnor
Director, Chair