The suggested method provides a fast noise and background reduction simultaneously as a preprocessing step of interferograms extrema tracing. The method consists with Hartley transformation, filtration, differentiation, inverse Hartley transformation and binary pattern formation. The discussing advantages are in computing aspect.
The Singular Value Decomposition CSVD) of an image matrix, followed by image restoration by part of singular values terns is employed for high frequency noise reduction. The Fisher criterion or an optimal filtering are implemented to the singular value image spectrum in order to remove or correct singular values corresponding to the variation due to additive noise. This procedure is proposed as a preprocessing step of interferogram processing.
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