3 papers
cs.CV2021
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery
Jaehyup Lee, Soomin Seo, Munchurl Kim
Pan-sharpening is a process of merging a high-resolution (HR) panchromatic (PAN) image and its corresponding low-resolution (LR) multi-spectral (MS) image to create an HR-MS and pa…
eess.IV2020
Pan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization
Juan Luis Gonzalez Bello, Soomin Seo, Munchurl Kim
We present a novel color-aware perceptual (CAP) loss for learning the task of pan-sharpening. Our CAP loss is designed to focus on the deep features of a pre-trained VGG network th…
cs.CV2019
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions
Soomin Seo, Sehwan Ki, Munchurl Kim
Recently, due to the strength of deep convolutional neural networks (CNN), many CNN-based image quality assessment (IQA) models have been studied. However, previous CNN-based IQA m…