A ghosting artifact detector for interpolated image quality assessment

Abstract

We present a no-reference image quality metric for image interpolation. The approach is capable of detecting ghosting artifacts, e.g., in image based rendering scenarios. Based on the assumption that ghosting artifacts can be detected locally, the 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 the quality of image-based rendering techniques in general settings.

DOI: 10.1145/1620993.1621022

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Cite this paper

@inproceedings{Berger2009AGA, title={A ghosting artifact detector for interpolated image quality assessment}, author={Kai Berger and Christian Lipski and Christian Linz and Anita Sellent and Marcus A. Magnor}, booktitle={APGV}, year={2009} }