Fast orthogonality deficiency compensation for improved frequency selective image extrapolation

Seiler J, Kaup A (2008)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2008

Pages Range: 781-784

Article Number: 4517726

Event location: Las Vegas, NV US

ISBN: 9781424414840

URI: https://arxiv.org/abs/2207.01205

DOI: 10.1109/ICASSP.2008.4517726

Abstract

The purpose of this paper is to introduce a very efficient algorithm for signal extrapolation. It can widely be used in many applications in image and video communication, e. g. for concealment of block errors caused by transmission errors or for prediction in video coding. The signal extrapolation is performed by extending a signal from a limited number of known samples into areas beyond these samples. Therefore a finite set of orthogonal basis functions is used and the known part of the signal is projected onto them. Since the basis functions are not orthogonal regarding the area of the known samples, the projection does not lead to the real portion a basis function has of the signal. The proposed algorithm efficiently copes with this non-orthogonality resulting in very good objective and visual extrapolation results for edges, smooth areas, as well as structured areas. Compared to an existent implementation, this algorithm has a significantly lower computational complexity without any degradation in quality. The processing time can be reduced by a factor larger than 100. ©2008 IEEE.

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How to cite

APA:

Seiler, J., & Kaup, A. (2008). Fast orthogonality deficiency compensation for improved frequency selective image extrapolation. In Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 781-784). Las Vegas, NV, US.

MLA:

Seiler, Jürgen, and André Kaup. "Fast orthogonality deficiency compensation for improved frequency selective image extrapolation." Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV 2008. 781-784.

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