Paper Info
Title
Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
Abstract
It has been shown, that high resolution images can be acquired using a low resolution sensor with non-regular sampling. Therefore, post-processing is necessary. In terms of video data, not only the spatial neighborhood can be used to assist the reconstruction, but also the temporal neighborhood. A popular and well performing algorithm for this kind of problem is the three-dimensional frequency selective extrapolation (3D-FSE) for which a motion adapted version is introduced in this paper. This proposed extension solves the problem of changing content within the area considered by the 3D-FSE, which is caused by motion within the sequence. Because of this motion, it may happen that regions are emphasized during the reconstruction that are not present in the original signal within the considered area. By that, false content is introduced into the extrapolated sequence, which affects the resulting image quality negatively. The novel extension, presented in the following, incorporates motion data of the sequence in order to adapt the algorithm accordingly, and compensates changing content, resulting in gains of up to 1.75 dB compared to the existing 3D-FSE.
Year
DOI
Venue
2019
10.1109/icassp.2019.8683218
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
Frequency Selective Extrapolation, Motion Compensation, Resolution Enhancement
Pattern recognition,Computer science,Motion compensation,Image quality,Algorithm,Extrapolation,Artificial intelligence,Sampling (statistics)
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Andreas Spruck101.01
Markus Jonscher2154.38
Jürgen Seiler314528.28
André Kaup4861127.24