TY - GEN
T1 - RESTORATION OF HDR IMAGES FOR SVE-BASED HDRI VIA A NOVEL DCNN
AU - Xu, Yilun
AU - Liu, Ziyang
AU - Wu, Xingming
AU - Chen, Weihai
AU - Li, Zhengguo
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Ghosting artifacts are believed to be the Achilles' heel for high dynamic range (HDR) imaging (HDRI) via differently exposed images sequentially captured by a digital device. Spatially varying exposure (SVE)-based HDRI is an efficient solution to prevent the ghosting artifacts from appearing in a HDR image. However, it is challenging to restore a high-quality HDR image with the full resolution from a single raw Bayer image for the SVE-based HDRI. In this paper, a novel deep convolution neural network (DCNN) is proposed to address such a challenging problem. The proposed DCNN includes two distinctive components, a spatially varying convolution and an exposedness-aware compensation branch. The evaluations indicate that the quality of our results significantly surpasses several related algorithms. Related materials will be provided at https://github.com/yilun-xu/SVEHDRI/.
AB - Ghosting artifacts are believed to be the Achilles' heel for high dynamic range (HDR) imaging (HDRI) via differently exposed images sequentially captured by a digital device. Spatially varying exposure (SVE)-based HDRI is an efficient solution to prevent the ghosting artifacts from appearing in a HDR image. However, it is challenging to restore a high-quality HDR image with the full resolution from a single raw Bayer image for the SVE-based HDRI. In this paper, a novel deep convolution neural network (DCNN) is proposed to address such a challenging problem. The proposed DCNN includes two distinctive components, a spatially varying convolution and an exposedness-aware compensation branch. The evaluations indicate that the quality of our results significantly surpasses several related algorithms. Related materials will be provided at https://github.com/yilun-xu/SVEHDRI/.
KW - deep convolution neural network
KW - exposedness-aware compensation branch
KW - High-dynamic-range imaging
KW - spatially varying convolution
KW - spatially varying exposure
UR - https://www.scopus.com/pages/publications/85119578265
U2 - 10.1109/ICME51207.2021.9428198
DO - 10.1109/ICME51207.2021.9428198
M3 - 会议稿件
AN - SCOPUS:85119578265
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
BT - 2021 IEEE International Conference on Multimedia and Expo, ICME 2021
PB - IEEE Computer Society
T2 - 2021 IEEE International Conference on Multimedia and Expo, ICME 2021
Y2 - 5 July 2021 through 9 July 2021
ER -