Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration
نویسندگان
چکیده
منابع مشابه
Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration
Image restoration problems are often solved by finding the minimizer of a suitable objective function. Usually this function consists of a data-fitting term and a regularization term. For the least squares solution, both the data-fitting and the regularization terms are in the 2 norm. In this paper, we consider the least absolute deviation (LAD) solution and the least mixed norm (LMN) solution....
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15 صفحه اولDynamic updating for L1 minimization
The theory of compressive sensing (CS) suggests that under certain conditions, a sparse signal can be recovered from a small number of linear incoherent measurements. An effective class of reconstruction algorithms involve solving a convex optimization program that balances the 1 norm of the solution against a data fidelity term. Tremendous progress has been made in recent years on algorithms f...
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ژورنال
عنوان ژورنال: SIAM Journal on Scientific Computing
سال: 2006
ISSN: 1064-8275,1095-7197
DOI: 10.1137/040615079