A wide range of techniques have been proposed for solving constrained 2-D image restoration problems. The 2-D nature of these algorithms generally results in a high computational cost. In this paper we describe a technique for decomposing the 2-D problem into a set of indipendent 1-D problems based on the Projection Slice Theorem. The computational savings and performance of this technique are investigated.
Image deconvolution by means of projections restoration
Tonazzini A
1987
Abstract
A wide range of techniques have been proposed for solving constrained 2-D image restoration problems. The 2-D nature of these algorithms generally results in a high computational cost. In this paper we describe a technique for decomposing the 2-D problem into a set of indipendent 1-D problems based on the Projection Slice Theorem. The computational savings and performance of this technique are investigated.File in questo prodotto:
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