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"WAVELET BASED NONLINEAR SEPARATION OF IMAGES"^^ .
"This work addresses a real-life problem corresponding\nto the separation of the nonlinear mixture of images which\narises when we scan a paper document and the image from\nthe back page shows through.\nThe proposed solution consists of a non-iterative procedure\nthat is based on two simple observations: (1) the high\nfrequency content of images is sparse, and (2) the image\nprinted on each side of the paper appears more strongly in\nthe mixture acquired from that side than in the mixture acquired from the opposite side.\nThese ideas had already been used in the context of nonlinear denoising source separation (DSS). However, in that method the degree of separation achieved by applying these ideas was relatively weak, and the separation had to be improved by iterating within the DSS scheme. In this paper the application of these ideas is improved by changing the competition function and the wavelet transform that is used. These improvements allow us to achieve a good separation in one shot, without the need to integrate the process into an iterative DSS scheme. The resulting separation process is both nonlinear and non-local.\nWe present experimental results that show that the method\nachieves a good separation quality."^^ .
"2006" .
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"Mariana S. C."^^ .
"Almeida"^^ .
"Mariana S. C. Almeida"^^ .
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"Luís B."^^ .
"Almeida"^^ .
"Luís B. Almeida"^^ .
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"WAVELET BASED NONLINEAR SEPARATION OF IMAGES (PDF)"^^ .
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"Denoising.pdf"^^ .
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"WAVELET BASED NONLINEAR SEPARATION OF IMAGES (Image (PNG))"^^ .
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"preview.png"^^ .
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"WAVELET BASED NONLINEAR SEPARATION OF IMAGES (Indexer Terms)"^^ .
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"indexcodes.txt"^^ .
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"HTML Summary of #4915 \n\nWAVELET BASED NONLINEAR SEPARATION OF IMAGES\n\n" .
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"Statistical Models" .
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"Machine Vision" .
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"Machine Learning" .
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"Artificial Intelligence" .
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