TY - GEN
T1 - Single Image HDR Synthesis with Histogram Learning
AU - Lin, Yi Rung
AU - Lin, Huei Yung
AU - Lin, Wen Chieh
N1 - Publisher Copyright:
© 2024, Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - High dynamic range imaging aims for a more accurate representation of the scene. It provides a large luminance coverage to yield the human perception range. In this paper, we present a technique to synthesize an HDR image from the LDR input. The proposed two-stage approach expands the dynamic range and predict its histogram with cumulative histogram learning. Histogram matching is then carried out to reallocate the pixel intensity. In the second stage, HDR images are constructed using reinforcement learning with pixel-wise rewards for local consistency adjustment. Experiments are conducted on HDR-Real and HDR-EYE datasets. The quantitative evaluation on HDR-VDP-2, PSNR, and SSIM have demonstrated the effectiveness compared to the state-of-the-art techniques.
AB - High dynamic range imaging aims for a more accurate representation of the scene. It provides a large luminance coverage to yield the human perception range. In this paper, we present a technique to synthesize an HDR image from the LDR input. The proposed two-stage approach expands the dynamic range and predict its histogram with cumulative histogram learning. Histogram matching is then carried out to reallocate the pixel intensity. In the second stage, HDR images are constructed using reinforcement learning with pixel-wise rewards for local consistency adjustment. Experiments are conducted on HDR-Real and HDR-EYE datasets. The quantitative evaluation on HDR-VDP-2, PSNR, and SSIM have demonstrated the effectiveness compared to the state-of-the-art techniques.
KW - Cumulative Histogram
KW - High Dynamic Range Image
KW - Reinforcement Learning
UR - http://www.scopus.com/inward/record.url?scp=85178634088&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49018-7_8
DO - 10.1007/978-3-031-49018-7_8
M3 - Conference contribution
AN - SCOPUS:85178634088
SN - 9783031490170
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 108
EP - 122
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Proceedings
A2 - Vasconcelos, Verónica
A2 - Domingues, Inês
A2 - Paredes, Simão
PB - Springer Science and Business Media Deutschland GmbH
T2 - 26th Iberoamerican Congress on Pattern Recognition, CIARP 2023
Y2 - 27 November 2023 through 30 November 2023
ER -