Modern scientific research produces datasets of increasing size and complexity that require dedicated numerical methods to be processed. In many cases, the analysis of spectroscopic data involves the ...

All-optical image denoising using diffractive visual processors. Credit: Ozcan Lab UCLA While image denoising algorithms have undergone extensive research and advancements in the past decades, ...

5-layer diffractive denoiser operating on noisy input phase. While image denoising algorithms have undergone extensive research and advancements in the past decades, classical denoising techniques ...

This blog post is a result of a collaboration between Visidon, headquartered in Finland and Imagination, based in the UK. Visidon is recognised as an expert in algorithms for camera image enhancement ...

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...

Magnetic resonance imaging (MRI) is among the most commonly used imaging methods in preclinical studies as it non-invasively produces multiparametric data of tissues and organs. An animal organism’s ...