Linear Filtering and Total Variation De-noising of Composite Noises: Different Architectures and Simulation Study
Fateme Taherkhani,
Mohammad Jalal Rastegar Fatemi,
Yousef Ganjdanesh
Issue:
Volume 4, Issue 6, December 2015
Pages:
55-59
Received:
17 November 2015
Accepted:
23 December 2015
Published:
15 January 2016
DOI:
10.11648/j.cssp.20150406.11
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Abstract: Combined techniques consisting of traditional linear filtering and total variation de-noising are studied to de-noise images polluted with composite noises from different sources. Series and parallel approaches are compared theoretically. Some further discussions are given about parameters and their effect on the optimization problem. A simultaneous method is proposed and simulated using the convex optimization toolbox, comparing different alternative methods with respect to signal to noise ratio and error covariance matrix. The proposed method could be used to enhance the smoothing performance.
Abstract: Combined techniques consisting of traditional linear filtering and total variation de-noising are studied to de-noise images polluted with composite noises from different sources. Series and parallel approaches are compared theoretically. Some further discussions are given about parameters and their effect on the optimization problem. A simultaneou...
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