Abstract: In this paper, we present an innovative mechanism for image restoration problems in which the image is corrupted by a mixture of additive white Gaussian noise (AWGN) and impulse noise (IN).

How Noise Can Aid Some Computing Problems. Conventionally, noise is the enemy of computation. However, certain applications actually rely on artificially generated noise. And usin ...

Abstract: Expected likelihood (EL) technique for quality assessment of parameter estimates of signals embedded in Gaussian noise is extended in this paper over the case where useful signals are ...

Adds real-world conditions like noise, blur, poor lighting, and occlusion to improve robustness of computer vision models. 0 stars 0 forks Branches Tags Activity Star Notifications You must be signed ...

A new study by researchers from The University of Western Australia has used computer vision to reconstruct the false illusion of 3D shapes created by moth wing patterns. The research, published ...

Advances in computer vision and machine learning are helping companies get medical devices and drugs to market in a more reliable and safe way, and sometimes at a reduced cost. Pharmaceutical ...

We introduce FastViTHD, a novel hybrid vision encoder designed to output fewer tokens and significantly reduce encoding time for high-resolution images. Our smallest variant outperforms ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...