The discriminative model learning for image denoising has been recently attracting considerable
attentions due to its favorable denoising performance. In this paper, we take one step …

Fluorescent carbon-based materials have drawn increasing attention in recent years owing
to exceptional advantages such as high optical absorptivity, chemical stability, …

Recent works on plug-and-play image restoration have shown that a denoiser can implicitly
serve as the image prior for model-based methods to solve many inverse problems. Such a …

Chemically modified graphene and polyaniline (PANI) nanofiber composites were prepared
by in situ polymerization of aniline monomer in the presence of graphene oxide under acid …

Abstract Model-based optimization methods and discriminative learning methods have
been the two dominant strategies for solving various inverse problems in low-level vision. …

MoS 2 nanoflowers with expanded interlayer spacing of the (002) plane were synthesized
and used as high‐performance anode in Na‐ion batteries. By controlling the cut‐off voltage to …

Image restoration is a long-standing low-level vision problem that aims to restore high-quality
images from low-quality images (eg, downscaled, noisy and compressed images). While …

A biological and dry-style superhydrophobic antifogging properties of mosquito C. pipines
compound eyes with clear vision were studied and the artificial compound eyes were …

Plastic waste are introduced into the environment inevitably and their exposure in the
environment causes deterioration in mechanical and physicochemical properties and leads to the …

Traffic congestion increases vehicle emissions and degrades ambient air quality, and recent
studies have shown excess morbidity and mortality for drivers, commuters and individuals …