IEEE

Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation

Abstract: Image super-resolution (SR) aims to enhance the spatial resolution of images and overcome the hardware limitations of imaging systems. While deep-learning networks have significantly ...
YouTube on MSN

Photoshop: Convert low-resolution to high-resolution! Up-scaling & up-rezzing.

Photoshop cc 2018 tutorial showing how to convert low-resolution black and white graphics into high-resolution, as well as ...
Hosted on MSN

Photoshop tutorial: How to create a double-exposure image in Photoshop

Photoshop cc 2014 tutorial showing how to create a double-exposure image from two different photos. Tropical trees: Woman photo by Scott Snyder: Photo provided by Shutterstock.com High-quality, ...
GitHub

A Collaborative Network of Mamba and CNN for Lightweight Image Super-Resolution

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 ...
Frontiers

Efficient remote sensing image super-resolution with residual-enhanced wavelet and key-value adaptation

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 ...
IEEE

Cascade-Transform-Based Tensor Nuclear Norm for Hyperspectral Image Super-Resolution

Abstract: Recent advancements in tensor nuclear norm (TNN) have led to promising solutions for hyperspectral image super-resolution (HSISR), which produces enriched outputs by fusing low-resolution ...