68 citations · 230 across the 31 of their papers we have counts for
33 papers
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation
Haesoo Chung, Nam Ik Cho
High dynamic range (HDR) imaging is a highly challenging task since a large amount of information is lost due to the limitations of camera sensors. For HDR imaging, some methods ca…
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
Haesoo Chung, Nam Ik Cho
As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynami…
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
Yeong Il Jang, Keuntek Lee, Gu Yong Park +2
There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins. Recently, self-supervised methods have attracte…
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network
Hochang Rhee, Seyun Kim, Nam Ik Cho
Recent deep-learning-based video compression methods brought coding gains over conventional codecs such as AVC and HEVC. However, learning-based codecs generally require considerab…
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
Seung Ho Park, Young Su Moon, Nam Ik Cho
Single-image super-resolution (SISR) networks trained with perceptual and adversarial losses provide high-contrast outputs compared to those of networks trained with distortion-ori…
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks
Jae Woong Soh, Nam Ik Cho
There have been numerous image restoration methods based on deep convolutional neural networks (CNNs). However, most of the literature on this topic focused on the network architec…