Abstract Near-infrared II (NIR-II) imaging at 1100–1700 nm supports deep tissue
penetration, low auto-fluorescence interruption, and high imaging resolution due to …

Coherent Raman scattering (CRS) microscopy is a high-speed vibrational imaging platform
with the ability to visualize the chemical content of a living specimen by using molecular …

Despite a worldwide research involvement in the global COVID-19 pandemic, the research
community is still struggling to develop reliable and faster prediction mechanisms for this …

We propose a data-dependent denoising procedure to restore noisy images. Different from
existing denoising algorithms which search for patches from either the noisy image or a …

The rapid development of 3D technology and computer vision applications has motivated a
thrust of methodologies for depth acquisition and estimation. However, existing hardware …

Seismic data denoising and interpolation are essential preprocessing steps in any seismic
data processing chain. Sparse transforms with a fixed basis are often used in these two …

Acquisition technology advances, as well as the exploration of geologically complex areas,
are pushing the quantity of data to be analyzed into the “big-data” era. In our related work …

We propose an adaptive learning procedure to learn patch-based image priors for image
denoising. The new algorithm, called the expectation-maximization (EM) adaptation, takes a …

A quanta image sensor (QIS) is a class of single-photon imaging devices that measure light
intensity using oversampled binary observations. Because of the stochastic nature of the …

Non-local means (NLM) are typically biased by the accumulation of small weights
associated with dissimilar patches, especially at image edges. Hence, we propose to null …