Search Results for author: Soomin Seo

Found 2 papers, 1 papers with code

SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery

1 code implementation CVPR 2021 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 pan-sharpened image.

A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions

no code implementations14 Feb 2019 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.

Image Quality Assessment

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