Deep Learning-Based Image Enhancement for HDR Imaging

Citations

SCOPUS

1

초록

High dynamic range (HDR) techniques have received significant attention in generating realistic, high-quality images and videos and improving visual quality in new display systems. We have witnessed remarkable advances in HDR reconstruction using deep learning technologies in recent years. This review examines recent developments in HDR reconstruction using a deep learning approach, -which takes a single low dynamic range (LDR) image as an input and aims to restore an HDR image featuring higher color gamut and a higher detail retention than the LDR image. We aim to provide a comprehensive survey in this field. Since there are numerous HDR algorithms, it is necessary to evaluate and organize their performance; therefore, we evaluate them using two objective evaluation metrics. © 2022 SID.

키워드

Deep learningHigh dynamic range imagingImage restorationInverse tone mapping
제목
Deep Learning-Based Image Enhancement for HDR Imaging
저자
Park, Ye-InSong, Jou WonKang, Suk-Ju
DOI
10.1002/sdtp.15630
발행일
2022-06
유형
Conference Paper
저널명
Digest of Technical Papers - SID International Symposium
53
1
페이지
865 ~ 868