Jan 9, 2015 · We develop an effective method to estimate a blur kernel which is able to remove kernel noise and prevent the production of an overly sparse ...

Using the hybrid ℓp norm, we reduce a wider range of kernel noise and recover a more accurate blur kernel. The experiments show that the proposed method ...

Using the hybrid lp norm, we reduce a wider range of kernel noise and recover a more accurate blur kernel. The experiments show that the proposed method ...

Apr 2, 2024 · In this paper, a novel hybrid regularization method for image restoration is proposed, which adopts both internal and external image priors into a unified ...

Jul 5, 2020 · This paper proposes a joint blur kernel estimation and CNN method for blind image restoration. The blur kernel estimation is based on both blur support ...

Jun 3, 2016 · In this paper a de-blurring method using Lucy Richardson algorithm is proposed, which uses the point spread function estimated from the blurred ...

Increasing the camera light sensitivity, i.e., using a higher ISO setting, can reduce the exposure time, which helps. But it comes at the cost of higher noise ...

A new method for recovering the blur kernel in motion-blurred images based on statistical irregularities their power spectrum exhibits is described, ...

This paper introduced a non-blind image blur removal algorithm based on the Bayesian hierarchical model and promising results were achieved.

This approach preserves high frequency spatial details in the blurred image and produces impressive results, assuming the blur kernel is known. Denoising can be ...