Adaptive wavelet restoration of noisy video sequences
UNSPECIFIED (2004) Adaptive wavelet restoration of noisy video sequences. In: International Conference on Image Processing (ICIP 2004), OCT 24-27, 2004, Singapore, SINGAPORE.Full text not available from this repository.
In this paper, we present a novel algorithm for restoration of noisy video sequences. A video Sequence is first transformed into an optimal 3D wavelet domain using basis functions adapted to the contents of the sequence. Assuming that all the major spatiotemporal frequency phenomena present in the sequence produce high amplitude transform coefficients, a modified form of the BayesShrink thresholding method is used to suppress the noise. In order to reduce the effects of Gibbs phenomenon in the restored sequence, translation dependence is removed by averaging the restored instances of the shifted sequence. The algorithm yields promising results in terms of both objective and subjective quality of the restored sequence.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||T Technology > TR Photography|
|Series Name:||IEEE International Conference on Image Processing (ICIP)|
|Journal or Publication Title:||ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5|
|Number of Pages:||4|
|Page Range:||pp. 957-960|
|Title of Event:||International Conference on Image Processing (ICIP 2004)|
|Location of Event:||Singapore, SINGAPORE|
|Date(s) of Event:||OCT 24-27, 2004|
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