Blur kernel estimation using sparsity and local smoothness prior
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DOI: 10.1117/1.jei.26.3.033024
Abstract: Abstract. Since blur kernel estimation is an ill-posed problem, it is essential that it be constrained by parametric image priors. However, the previous normalized sparsity measure alters the kernel structure during estimation. To address the… read more here.
Keywords: estimation; smoothness prior; kernel estimation; blur kernel ... See more keywords