Sep 12, 2023 · In this paper, we propose a novel blind image deblurring approach based on dynamic-clustering extreme intensity prior. Specifically, the patch- ...

In this paper, we propose a novel blind image deblurring approach based on dynamic-clustering extreme intensity prior.

In this paper, we propose a novel blind image deblurring approach based on dynamic-clustering extreme intensity prior. Specifically, the patch-wise maximal ...

This paper proposes a novel blind image deblurring approach based on dynamic-clustering extreme intensity prior that outperforms the state-of-the-art image ...

In this paper, we propose a novel blind image deblurring approach based on dynamic-clustering extreme intensity prior. Specifically, the patch-wise maximal ...

Dynamic-Clustering Extreme Intensity Prior Based Blind Image Deblurring. Xiaopan Li; Shiqian Wu; Sos Agaian. OriginalPaper 12 September 2023 Pages: 22 - 36 ...

Dec 14, 2024 · In this paper, we propose a novel blind image deblurring approach based on dynamic-clustering extreme intensity prior. Specifically, the patch- ...

Jul 20, 2020 · In this paper, we propose a novel algorithm based on the tri-segment intensity prior to estimate a blur kernel from a single motion blurred image.

We present an effective blind image deblurring method based on a data-driven discriminative prior. Our work is motivated by the fact that a good image prior ...

This work proposes a new blind image deblurring method by combining the salient edge-structures and the elastic-net regularization, and concludes that the ...