Poisson noise is an important type of electronic noise that is present in a variety of photon-
limited imaging systems. Different from the Gaussian noise, Poisson noise depends on the …

In this paper, we present a novel image denoising algorithm, specifically designed to
effectively restore both the edges and texture of images. This is achieved through the use of …

In medical imaging, noise can significantly obscure critical details, complicating diagnosis
and treatment. Traditional denoising techniques often struggle to maintain a balance …

Restoring images corrupted by Poisson noise have attracted much attention in recent years
due to its significant applications in image processing. There are various regularization …

The degree of Poisson noise depends on the image intensity, which makes Poisson image
restoration very challenging. Moreover, complex structures of images desire suitable …

The recovery of sparse signal from noisy data arises in various application fields. One widely
known approach for Gaussian noise image restoration with wavelet frame based sparse …

The nonlocal means filter plays an important role in image denoising. We propose in this
paper an image denoising model which is a suitable improvement of the nonlocal means …

Deblurring Poisson noisy images has recently been subject of an increasingly amount of
works in various applications such as astronomical imaging, fluorescent confocal …

In order to improve the quality of the image, many works impose explicit priors on the
solution to regularize the ill-posed inverse problem. In this paper, we propose a hybrid …

In this paper, a new model for image restoration under Poisson noise based on a high‐order
total bounded variation is proposed. Existence and uniqueness of its solution are proved. To …