Apr 20, 2016 · This paper introduces a nonlocal (NL) extension of TV regularization, which models the sparsity of the image gradient with pixelwise content- ...
A nonlocal (NL) extension of TV regularization is introduced, which models the sparsity of the image gradient with pixelwise content-adaptive distributions, ...
Sep 5, 2017 · This paper introduces a nonlocal (NL) extension of TV regularization, which models the sparsity of the image gradient with pixelwise content- ...
Hybrid high-order nonlocal gradient sparsity regularization for Poisson ...
opg.optica.org › abstract
The experimental results show that the proposed hybrid high-order nonlocal gradient sparsity regularization model achieves a substantial computational time ...
This paper introduces a nonlocal (NL) extension of TV regularization, which models the sparsity of the image gradient with pixelwise content-adaptive ...
Observing the visual inspection of images indicates a better performance of the proposed method when compared with other methods like SALSA [47], BPFA [48], ...
(PDF) Nonlocal Gradient Sparsity Regularization for Image ...
www.academia.edu › Nonlocal_Gradient...
This paper introduces a non-local extension of TV regularization, which models the sparsity of the image gradient with pixel-wise contentadaptive distributions, ...
Dec 10, 2018 · The experimental results show that the proposed hybrid high-order nonlocal gradient sparsity regularization model achieves a substantial ...
Experiments show that the proposed approach, called Nonlocal Gradient Sparse Regularization (NGSR), can model image gradients more accurately and outperform ...
The experimental results show that the proposed hybrid high-order nonlocal gradient sparsity regularization model achieves a substantial computational time ...