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20192023
most citedProgressive Joint Low-light Enhancement and Noise Removal for Raw Images

52 citations · 129 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.IV2023★ 24 cited

A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data

Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi +2

Multi-phase CT is widely adopted for the diagnosis of kidney cancer due to the complementary information among phases. However, the complete set of multi-phase CT is often not avai…

eess.IV2023★ 3 cited

Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography

Yucheng Lu, Zhixin Xu, Moon Hyung Choi +2

Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential healt…

eess.IV2022

RAWtoBit: A Fully End-to-end Camera ISP Network

Wooseok Jeong, Seung-Won Jung

Image compression is an essential and last processing unit in the camera image signal processing (ISP) pipeline. While many studies have been made to replace the conventional ISP p…

eess.IV2021★ 52 cited

Progressive Joint Low-light Enhancement and Noise Removal for Raw Images

Yucheng Lu, Seung-Won Jung

Low-light imaging on mobile devices is typically challenging due to insufficient incident light coming through the relatively small aperture, resulting in a low signal-to-noise rat…

eess.IV2019★ 13 cited

GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling

Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung

Recent research on image denoising has progressed with the development of deep learning architectures, especially convolutional neural networks. However, real-world image denoising…