Laser–ultrasound image restoration using independent components analysis
A novel image enhancement method for laser ultrasound images is proposed. The method is based on Independent Component Analysis (ICA). We assume that the speckle noise comes from a signal source, which accompanies but is independent of the ‘true signal source’ and that their statistical characteristics are not the same. Thus the image restoration problem can also be described as ‘signal source separation and enhancement’ problem. Then we classify the basis images that span into two different subspaces, namely ‘true signal subspace’ and ‘speckle subspace’. Based on the classification result, we build our spatially adaptive filter and obtain the recovered image after a mixing transform. Our experimental results show that the proposed method achieves an improvement as compared to other methods for laser ultrasound images of structured objects blurred by speckle noises.
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Document Type: Research Article
Affiliations: Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, USA.
Publication date: November 1, 2005
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- Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
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