5 citations · 9 across the 4 of their papers we have counts for
4 papers
Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning
Kouki Seo, Yuma Kinoshita, Hitoshi Kiya
We propose a novel Retinex image-decomposition network that can be trained in a self-supervised manner. The Retinex image-decomposition aims to decompose an image into illumination…
Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion
Kouki Seo, Chihiro Go, Yuma Kinoshita +1
We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are f…
Hue Correction Scheme for Multi-Exposure Image Fusion Considering Hue Distortion in Input Images
Kouki Seo, Chihiro Go, Yuma Kinoshita +1
We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are f…
A hue-preserving tone mapping scheme based on constant-hue plane without gamut problem
Yuma Kinoshita, Kouki Seo, Artit Visavakitcharoen +1
We propose a novel hue-preserving tone mapping scheme. Various tone mapping operations have been studied so far, but there are very few works on color distortion caused in image to…