Super-resolution image reconstruction: a technical overview
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...The former relies on the substitution of a component (e.g., obtained by means of a spectral transformation of the MS data) with the PAN image....
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845 citations
References
4,769 citations
"Super-resolution image reconstructi..." refers background in this paper
...The estimation of motion information is referred to as registration, and it is extensively studied in various fields of image processing [67]-[70]....
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2,841 citations
"Super-resolution image reconstructi..." refers methods in this paper
...[19] pointed to the important role of the regularization parameter and a proposed CLS SR reconstruction which generates the optimum value of the regularization parameter, using the L-curve method [77]....
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2,081 citations
"Super-resolution image reconstructi..." refers background or methods in this paper
...Iterative Back-Projection Approach Irani and Peleg [31] formulated the iterative back-projection (IBP) SR reconstruction approach that is similar to the back projection used in tomography....
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...A color SR application is considered in [8], [31], and [52]-[55], but a more careful reconstruction method which reflects the characteristic of color is needed....
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...Later, Irani and Peleg [33] modified the IBP to consider a more general motion model....
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...In [31], it is pointed out that the choice of h affects the characteristics of the solution when there are possible solutions....
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...Irani and Peleg [31] formulated the iterative back-projection (IBP) SR reconstruction approach that is similar to the back projection used in tomography....
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1,588 citations
1,174 citations
"Super-resolution image reconstructi..." refers background or methods in this paper
...Assuming that each LR image is corrupted by additive noise, we can then represent the observation model as [30], [48]...
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...Elad and Feuer [30] proposed a general hybrid SR image reconstruction algorithm which combines the benefits of the stochastic approaches and the POCS approach....
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...Elad and Feuer [30] demonstrated that the motionless SR image reconstruction without a regularization term is possible if the following necessary condition is satisfied: { }L m p2 22 1 2≤ + −min ( ) , , (20) where ( ) ( )2 1 2 1m m+ × + is the size of the blurring kernel, and L L L1 2= = ....
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...Elad and Feuer [34] proposed an SR image reconstruction algorithm based on adaptive filtering theory applied in time axis....
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...Elad and Feuer [30] demonstrated that the motionless SR image reconstruction without a regularization term is possible if the following necessary condition is satisfied:...
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