TY - GEN
T1 - A Fast Fusion Method for Multi-exposure Image in YUV Color Space
AU - Liu, Yanjie
AU - Wang, Dasong
AU - Zhang, Jianbo
AU - Chen, Xi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/14
Y1 - 2018/12/14
N2 - Using multiple exposures fusion to obtain high dynamic images of very large dynamic scenes, the traditional multi-resolution fusion method based on RGB color space has some shortcomings, such as low efficiency and color shift. In this paper, a method of multi-exposure fusion in YUV color space is proposed. The multi-resolution fusion based on Laplacian pyramid is carried out on Y channel, and the contrast factor and color degree factor are introduced to construct the weight map of the fusion. The maximum value of UV channel is taken to avoid color weakening caused by weighted fusion of color components. Finally, an objective evaluation of the fusion algorithm is carried out through experiments. Compared with the multi-resolution fusion based on Laplacian pyramid in traditional RGB color space, the color obtained by this method is more abundant, and the fusion time is about one-third of the traditional method.
AB - Using multiple exposures fusion to obtain high dynamic images of very large dynamic scenes, the traditional multi-resolution fusion method based on RGB color space has some shortcomings, such as low efficiency and color shift. In this paper, a method of multi-exposure fusion in YUV color space is proposed. The multi-resolution fusion based on Laplacian pyramid is carried out on Y channel, and the contrast factor and color degree factor are introduced to construct the weight map of the fusion. The maximum value of UV channel is taken to avoid color weakening caused by weighted fusion of color components. Finally, an objective evaluation of the fusion algorithm is carried out through experiments. Compared with the multi-resolution fusion based on Laplacian pyramid in traditional RGB color space, the color obtained by this method is more abundant, and the fusion time is about one-third of the traditional method.
KW - Fast fusion
KW - HDR
KW - Lapulacian pyramid
KW - Multi-exposure fusion
KW - YUV color space
UR - https://www.scopus.com/pages/publications/85060367591
U2 - 10.1109/IAEAC.2018.8577560
DO - 10.1109/IAEAC.2018.8577560
M3 - 会议稿件
AN - SCOPUS:85060367591
T3 - Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
SP - 1685
EP - 1689
BT - Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
Y2 - 12 October 2018 through 14 October 2018
ER -