Abstract: In remote sensing image processing for Earth and environmental applications, super-resolution (SR) is a crucial technique for enhancing the resolution of low-resolution (LR) images. In this ...
Amid a legal fight in a Durham, North Carolina court, there seems to be progress in Darian Mensah's effort to transfer out of Duke. The Blue Devils and Mensah's camp continue to communicate as of ...
Our code is runned on the Pytorch framework with the following environment configurations. CUDA 11.7 Python 3.9.19 PyTorch 1.13.1 + cu117 mamba_ssm 1.0.1 Following most previous lightweight SR methods ...
Update 02/23/23: We have now made the demo on the IPOL plateform publicly available. You can use it with you own raw images. This repository contains a non-official implementation of the “Handheld ...
Abstract: Previous studies have revealed that extending the spatial range of informative pixels offers positive performance gains for image Super-Resolution (SR). To activate more informative pixels, ...
The South Florida Water Management District held a python hunt in December with cash prizes. Kevin Pavlidis won multiple awards, including for most pythons captured and the longest python. The ...
Researchers have shown that consumer-grade 3D printers and low-cost materials can be used to produce multi-element optical components that enable super-resolution imaging, with each lens costing less ...
Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...
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