Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm
2016 ◽
Vol 2016
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pp. 1-11
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Keyword(s):
We introduce a new general TV regularizer, namely, generalized TV regularization, to study image denoising and nonblind image deblurring problems. In order to discuss the generalized TV image restoration with solution-driven adaptivity, we consider the existence and uniqueness of the solution for mixed quasi-variational inequality. Moreover, the convergence of a modified projection algorithm for solving mixed quasi-variational inequalities is also shown. The corresponding experimental results support our theoretical findings.
1996 ◽
Vol 7
(3)
◽
pp. 225-235
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1996 ◽
Vol 7
(3)
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pp. 237-247
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2000 ◽
Vol 24
(12)
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pp. 851-855
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2009 ◽
Vol 11
(02)
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pp. 279-307
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