Centroid adapted frequency selective extrapolation for reconstruction of lost image areas

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schnurrer W, Jonscher M, Seiler J, Richter T, Bätz M, Kaup A
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2015
Pages range: 1-4
ISBN: 9781467373142


Abstract


Lost image areas with different size and arbitrary shape can occur in many scenarios such as error-prone communication, depth-based image rendering or motion compensated wavelet lifting. The goal of image reconstruction is to restore these lost image areas as close to the original as possible. Frequency selective extrapolation is a block-based method for efficiently reconstructing lost areas in images. So far, the actual shape of the lost area is not considered directly. We propose a centroid adaption to enhance the existing frequency selective extrapolation algorithm that takes the shape of lost areas into account. To enlarge the test set for evaluation we further propose a method to generate arbitrarily shaped lost areas. On our large test set, we obtain an average reconstruction gain of 1.29 dB.



FAU Authors / FAU Editors

Bätz, Michel
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Jonscher, Markus
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Richter, Thomas
Lehrstuhl für Betriebswirtschaftslehre, insbesondere Marketing
Schnurrer, Wolfgang
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Schnurrer, W., Jonscher, M., Seiler, J., Richter, T., Bätz, M., & Kaup, A. (2015). Centroid adapted frequency selective extrapolation for reconstruction of lost image areas. (pp. 1-4). Singapore, SG: Institute of Electrical and Electronics Engineers Inc..

MLA:
Schnurrer, Wolfgang, et al. "Centroid adapted frequency selective extrapolation for reconstruction of lost image areas." Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), Singapore Institute of Electrical and Electronics Engineers Inc., 2015. 1-4.

BibTeX: 

Last updated on 2018-19-04 at 03:34