Common properties of dermatological diseases are mostly lesions with abnormal pattern
and skin color (usually redness). Therefore, dermatology is one of the most appropriate …

We consider the problem of image denoising in the presence of noise whose statistical
properties are a combination of two different distributions. We focus on noise distributions …

Fluorescence microscopy is an essential part of a biologist's toolkit, allowing assaying of
many parameters like subcellular localization of proteins, changes in cytoskeletal dynamics …

In this paper, we present an effective algorithm for solving the Poisson–Gaussian total
variation model. The existence and uniqueness of solution for the mixed Poisson–Gaussian …

Image noise reduction algorithm performs important functions in light microscopy. This study
aims to systematically review the research trend of types and performance evaluation …

We analyse a variational regularisation problem for mixed noise removal that has been
recently proposed in Calatroni et al (2017 SIAM J. Imaging Sci. 10 1196–233). The data …

We study the problem of deconvolution for light-sheet microscopy, where the data is
corrupted by spatially varying blur and a combination of Poisson and Gaussian noise. The …

We propose a new space-variant anisotropic regularization term for variational image
restoration, based on the statistical assumption that the gradients of the target image …

Traditional diagnostic neuropathology relies on subjective interpretation of visual data
obtained from a brightfield microscopy. This approach causes high variability, unsatisfactory …

Poisson noise (also known as shot or photon noise) arises due to the lack of information
during the image acquisition phase, it is quite common in the field of microscopic or …