Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …

We propose a non-contact heart rate (HR) estimation method that is robust to various
situations, such as bright, low-light, and varying illumination scenes. We utilize a camera that …

We propose a method for super-resolution (SR) of low-resolution (LR) color images taken in
low-light scenes. Our method is based on the multi-frame SR technique, which reconstructs …

This paper proposes to utilize deep spatio-spectral features for color constancy, while most
conventional methods focus on only spatial information of RGB images. We propose a novel …

Low-light images often lack visibility and information, and traditional methods of adjusting
camera sensitivity and exposure time can result in visual quality degradation. In this paper …

Security is an essential condition for the well-being of human beings, which is why society
seeks measures capable of preventing and identifying people who commit attacks against …

A fast and novel method for single-image reconstruction using the super-resolution (SR)
technique has been proposed in this paper. The working principle of the proposed scheme …

Reconstructing and tracking deformable surface with little or no texture has posed long-
standing challenges. Fundamentally, the challenges stem from textureless surfaces lacking …

We propose a method for capturing high-quality images in low-light environments using
multi-band near-infrared (NIR) images, which offer robustness to brightness variations and …

摘要针对低照度下传统彩色图像传感器成像质量差的问题, 提出一种基于单传感器的低照度彩色
图像增**系统. 系统同时采集可见光(VIS) 和**红外(NIR), 用NIR 对VIS 图像进行增**. 系统中 …