Titlebook: Image Analysis and Recognition; 6th International Co Mohamed Kamel,Aurélio Campilho Conference proceedings 2009 Springer-Verlag Berlin Heid

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Combined Wavelet and Nonlinear Filtering for MRI Phase Imagesfiltering is used to recover the associated phase images, mitigating negative effects such as loss of contrast and the introduction of phase residues, which constitute a major drawback for phase unwrapping processes. In this work, a group of algorithms combining nonlinear filters and wavelet de-nois

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Robust Principal Components for Hyperspectral Data Analysis, it can be mentioned the volume of data involved, the redundancy, the presence of unexpected values that arise mainly due to noisy pixels and background objects whose responses to the sensor are very different from those of their neighbours. Sometimes, the volume of data and number of variables inv

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Increasing Computational Redundancy of Digital Images via Multiresolutional Matchingdundancy of an image, a similarity measure is required to identify similar neighborhoods of pixels in the image. In this paper, we present two similarity measures: a position-invariant histogram-based measure and a rotation-invariant multiresolutional histogrambased measure. We demonstrate that by u