Adaptive regularization-based space-time super-resolution reconstruction

Authors:
Haiying Song;Linbo Qing;Yuanyuan Wu;Xiaohai He
Affiliations:
-;-;-;-
Venue:
Image Communication
Year:
2013

Citing 21
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Abstract

In this paper, we propose an adaptive space-time regularization method for multiple video sequence super-resolution reconstruction. In the proposed method, the regularization item is a functional with the variable exponent, 1@?p@?2. The local exponent p is selected according to the space-time gradient of each voxel of the video sequence, and the local regularization parameter is selected according to the space-time activity of each voxel of the video sequence. An alternating minimization algorithm is employed to solve the proposed method. Experiment results have verified the effectiveness of the proposed method and demonstrated its superiority to other regularization methods.