Denoising may improve images with low SNR by using quicker imaging techniques. The overall decrease in acquisition time that can be accomplished by adapting imaging procedures can dramatically ...

As a result, hyperspectral image (HSI) denoising techniques have become a critical area of research, focusing on methods to effectively remove noise while preserving important image features.

These techniques have been used to study microbial ... curve of the common taxa can reduce the computational expense of denoising. Empirical rank-abundance curves of actual microbial communities ...

A team of digital forestry graduate students from Purdue University won first prize in the American Society for ...

SHENZHEN, China - MicroCloud Hologram Inc. (NASDAQ: HOLO), a global provider of holographic technology services with a market capitalization of $28.76 million, has announced the optimization of its ...

Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a ...

This review discusses the latest LiDAR denoising algorithms, with a particular focus on techniques implemented under snowy conditions. These algorithms can be categorized into five types: ...

Inspired by the success of generative AI techniques in large language models and image generation ... In this work, we propose RM-Gen, a novel generative framework leveraging conditional denoising ...

This denoiser prioritizes temporal filtering using innovative optical flow techniques to preserve crucial details ... and to Timo Aila for his pioneering work at NVIDIA applying U-Nets to denoising.

The Image Denoising Project is designed to enhance the quality of images by effectively reducing or eliminating noise, which often degrades the visual clarity and overall usability of images. Noise ...

I recently dedicated a video to discuss just this because there are games that don't use a high enough resolution for their effects, others with noticeable surface grain, heavy denoising that ...