Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415029(2022)
High Dynamic Range Imaging Method Based on YCbCr Color Space Fusion
[1] Huang X. The algorithm of exposure image fusion based on multiresolution analysis[D](2019).
[2] Feng W, Liu H D, Wu G M et al. Gradient domain adaptive tone mapping algorithm based on color correction model[J]. Laser & Optoelectronics Progress, 57, 081007(2020).
[15] Yang Y C, Li J, Wang Y P. Review of image fusion quality evaluation methods[J]. Journal of Frontiers of Computer Science and Technology, 12, 1021-1035(2018).
[17] Wang F S, Liu Z N, Fu L J. An improved criminisi image inpainting method based on information entropy and gradient factor[J]. Laser & Optoelectronics Progress, 57, 221006(2020).
[21] Shao D, Han J W. Inter-transformation between YUV and RGB[J]. Journal of Changchun University, 14, 51-53(2004).
[22] Xiang F M, Zhu Z Y, Xu J et al. Research on algorithms of color space conversion from YUV to RGB[J]. Modern Electronics Technique, 35, 65-68(2012).
Get Citation
Copy Citation Text
Lu Tang, Rongsheng Lu, Yanqiong Shi, Haibing Hu. High Dynamic Range Imaging Method Based on YCbCr Color Space Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415029
Category: Machine Vision
Received: May. 19, 2021
Accepted: Jun. 10, 2021
Published Online: Jul. 1, 2022
The Author Email: Rongsheng Lu (rslu@hfut.edu.cn)