Texture-Dependent Frequency Selective Reconstruction of Non-Regularly Sampled Images

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Jonscher M, Seiler J, Kaup A
Publication year: 2016
Conference Proceedings Title: 2016 Picture Coding Symposium
Pages range: 1-5
ISBN: 978-1-5090-5966-9
ISSN: 2472-7822
Language: English


Abstract

There exist many scenarios where pixel information is available only on a non-regular subset of pixel positions. For further processing, however, it is required to reconstruct such images on a regular grid. Besides many other algorithms, frequency selective reconstruction can be applied for this task. It performs a block-wise generation of a sparse signal model as an iterative superposition of Fourier basis functions and uses this model to replace missing or corrupted pixels in an image. In this paper, it is shown that it is not required to spend the same amount of iterations on both homogeneous and heterogeneous regions. Hence, a new texture-dependent approach for frequency selective reconstruction is introduced that distributes the number of iterations depending on the texture of the regions to be reconstructed. Compared to the original frequency selective reconstruction and depending on the number of iterations, visually noticeable gains in PSNR of up to 1.47 dB can be achieved.


FAU Authors / FAU Editors

Jonscher, Markus Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Jonscher, M., Seiler, J., & Kaup, A. (2016). Texture-Dependent Frequency Selective Reconstruction of Non-Regularly Sampled Images. In 2016 Picture Coding Symposium (pp. 1-5). Nuremberg, DE.

MLA:
Jonscher, Markus, Jürgen Seiler, and André Kaup. "Texture-Dependent Frequency Selective Reconstruction of Non-Regularly Sampled Images." Proceedings of the Picture Coding Symposium (PCS), Nuremberg 2016. 1-5.

BibTeX: 

Last updated on 2019-19-04 at 13:23