High-Resolution Color Image Reconstruction with Neumann Boundary Conditions

Michael Ng () and Wilson Kwan

Annals of Operations Research, 2001, vol. 103, issue 1, 99-113

Abstract: This paper studies the application of preconditioned conjugate gradient methods in high-resolution color image reconstruction problems. The high-resolution color images are reconstructed from multiple undersampled, shifted, degraded color frames with subpixel displacements. The resulting degradation matrices are spatially variant. To capture the changes of reflectivity across color channels, the weighted H 1 regularization functional is used in the Tikhonov regularization. The Neumann boundary condition is also employed to reduce the boundary artifacts. The preconditioners are derived by taking the cosine transform approximation of the degradation matrices. Numerical examples are given to illustrate the fast convergence of the preconditioned conjugate gradient method. Copyright Kluwer Academic Publishers 2001

Keywords: image reconstruction; Toeplitz matrix; cosine transform; preconditioners; color (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1023/A:1012990619503

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