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Multi-parameter regularization methods for high-resolution image reconstruction with displacement errors
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DOI：10.1109/TCSI.2007.902535.png)
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Abstract
En 中文
We propose multi-parameter regularization methods for high-resolution image reconstruction which is described by an ill-posed problem. The regularization operator for the ill-posed problem is decomposed in a multiscale manner by using bi-orthogonal wavelets or tight frames. In the multiscale framework, for different scales of the operator we introduce different regularization. parameters. These methods are analyzed under certain reasonable hypotheses. Numerical examples are presented to demonstrate the efficiency and accuracy of these methods.
Keywords:
Multi-parameter regularization
high-resolution image reconstruction
wavelets
framelets
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