3D Poissonian image deblurring via patch-based tensor logarithmic Schatten-p minimization
Jian Lu,
Lin Huang,
Xiaoxia Liu
et al.
Abstract:In medical and biological image processing, multi-dimensional images are often corrupted by blur and Poisson noise. In this paper, we first propose a new tensor logarithmic Schatten-$p$ (t-log-$S_p$) low-rank measure and a tensor iteratively reweighted Schatten-$p$ minimization (t-IRSpM) algorithm for minimizing such measure. Furthermore, we adopt this low-rank measure to regularize the non-local tensors formed by similar 3D image patches and develop a patch-based non-local low-rank model. The data fidelity te… Show more
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