This paper presents a novel dual-camera system that can simultaneously capture zoomed-in
images using an ultrafast pan-tilt camera and a fixed wide-view camera using deep learning …

Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate
different remote sensing objects. However, the HSI spatial resolution is relatively low due to …

Deaf individuals use sign language to interact with each other and with people in general. In
most cases, an interpreter is needed in order for a hearing person to have a conversation …

The prime purpose for the image reconstruction of a multi-frame superresolution is to
reconstruct a higher-resolution image through incorporating the knowledge obtained from a …

摘要针对多光谱遥感图像超分辨率重建易受噪声和色差影响的问题, 提出了暗通道与交叉通道多
先验联合的多光谱超分辨率算法. 首先, 在传统全变分先验的基础上, 引入了暗通道先验与交叉 …

With advancement in deep neural network (DNN), recent state-of-the-art (SOTA) image
super-resolution (SR) methods have achieved impressive performance using deep residual …

Super-resolution is the process of obtaining a high-resolution (HR) image from one or more
low-resolution (LR) images. Single image super-resolution (SISR) deals with one LR image …

Recently, deep learning techniques and deep neural networks have been extensively
studied and widely applied to single-image super-resolution (SISR). Although super …

Increasing threats to US national security satellite constellations have resulted in an
increased interest in constellation resilience and satellite redundancy. CubeSats have …

Color images have a wider range of applications than gray images. There are two ways to
extend the traditional super-resolution reconstruction method to color images: Super …