A ghosting artifact detector for interpolated image quality assessment

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A ghosting artifact detector for interpolated image quality assessment

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Applied Perception in Graphics and Visualization archive
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization table of contents

Chania, Crete, Greece

POSTER SESSION: Posters table of contents

Pages 128-128

Year of Publication: 2009

ISBN:978-1-60558-743-1

Authors

Kai Berger	TU Braunschweig
Christian Lipski	TU Braunschweig
Christian Linz	TU Braunschweig
Anita Sellent	TU Braunschweig
Marcus Magnor	TU Braunschweig

Sponsor

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 5, Citation Count: 0

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

Berger, K., Lipski, C., Linz, C., Sellent, A., and Magnor, M. 2009. A ghosting artifact detector for interpolated image quality assessment. Tech. rep., Computer Graphics Lab, Technical University of Braunschweig, 7. http://www.digibib.tu-bs.de/?docid=00028790.

INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.4 IMAGE PROCESSING AND COMPUTER VISION
I.4.7 Feature Measurement