Orthogonality Deficiency Compensation for Improved Frequency Selective Image Extrapolation

Seiler J, Meisinger K, Kaup A (2007)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2007

Event location: Lisbon PT

URI: http://www.eurasip.org/Proceedings/Ext/PCS2007/defevent/papers/cr1064.pdf

Abstract

This paper describes a very efficient algorithm for image signal extrapolation.
It can be used for various applications in image and
video communication, e. g. the concealment of data corrupted by
transmission errors or prediction in video coding. The extrapolation
is performed on a limited number of known samples and extends the
signal beyond these samples. Therefore the signal from the known
samples is iteratively projected onto different basis functions in order
to generate a model of the signal. As the basis functions are not
orthogonal with respect to the area of the known samples we propose
a new extension, the orthogonality deficiency compensation, to
cope with the non-orthogonality. Using this extension, very good
extrapolation results for structured as well as for smooth areas are
achievable. This algorithm improves PSNR up to 2 dB and gives
a better visual quality for concealment of block losses compared to
extrapolation algorithms existent so far.©EURASIP

Authors with CRIS profile

Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung

How to cite

APA:

Seiler, J., Meisinger, K., & Kaup, A. (2007). Orthogonality Deficiency Compensation for Improved Frequency Selective Image Extrapolation. In Proceedings of the Picture Coding Symposium. Lisbon, PT.

MLA:

Seiler, Jürgen, Katrin Meisinger, and André Kaup. "Orthogonality Deficiency Compensation for Improved Frequency Selective Image Extrapolation." Proceedings of the Picture Coding Symposium, Lisbon 2007.

BibTeX: Download