Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Uveitis is a generic term for inflammation of the uvea, which includes the iris, ciliary body,
and choroid. Prevalence of underlying non-infectious uveitis varies by race and region and …

Non-local means (NLM) filter is one of the state-of-the-art denoising filters. It exploits the
presence of similar features in an image and averages those similar features to remove …

Optical coherence microscopy (OCM) is a label-free, high-resolution, three-dimensional (3D)
imaging technique based on optical coherence tomography (OCT) and confocal microscopy …

This paper presents a novel method for line restoration in speckle images. We address this
as a sparse estimation problem using both convex and non-convex optimization techniques …

The elimination of multiplicative speckle noise is the main issue in synthetic aperture radar
(SAR) images. In this study, a SAR image despeckling filter based on a proposed extended …

Automatic incident detection (AID) is crucial for reducing non-recurrent congestion caused
by traffic incidents. In this paper, we propose a data-driven AID framework that can leverage …

Ultrasound images are strongly affected by speckle noise making visual and computational
analysis of the structures more difficult. Usually, the interference caused by this kind of noise …

Motion artefacts from involuntary changes in eye fixation remain a major imaging issue in
optical coherence tomography (OCT). This paper reviews the state-of-the-art of retrospective …

The L 1 norm regularized least squares method is often used for finding sparse approximate
solutions and is widely used in signal restoration. Basis pursuit denoising (BPD) performs …