[1] Reinhard E, Heidrich W, Debevec P, et al. High dynamic range imaging: acquisition, display and image-based lighting. 2nd ed. [M]. Morgan Kaufmann Publishers Inc, 2010: 171–183.
[2] Debevec P E, Malik J. Recovering high dynamic range radi-ance maps from photographs[C]// Proceedings of the 24th annual conference on Computer graphics and interactive techniques, New York: ACM, 1997: 369–378.
[3] Mitsunaga T, Nayar S K. Radiometric self calibration[C]// Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, New York: ACM, 1999: 374–380.
[4] Jacobs K, Loscos C, Ward G. Automatic high dynamic range image generation for dynamic scenes[J]. IEEE Computer Graphics and Applications, 2008, 28(2): 84–93.
[5] Zheng J H, Li Z G, Zhu Z J, et al. Hybrid patching for a se-quence of differently exposed images with moving objects[J]. IEEE Transactions on Image Processing, 2013, 22(12): 5190–5201.
[6] Zhang W, Cham W K. Gradient–directed multiexposure composition[J]. IEEE Transactions on Image Processing, 2012, 21(4): 2318–2323.
[7] Khan E A, Akyuz A O, Reinhard E. Ghost removal in high dynamic range images[C]// IEEE International Conference on Image Processing, Atlanta, GA, USA: IEEE, 2006: 2005–2008.
[8] Lee C, Li Y L, Monga V. Ghost–free high dynamic range imaging via rank minimization[J]. IEEE Signal Processing Letters, 2014, 21(9): 1045–1049.
[9] Oh T H, Lee J Y, Tai Y W, et al. Robust high dynamic range imaging by rank minimization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(6): 1219–1232.
[10] Pece F, Kautz J. Bitmap movement detection: HDR for dy-namic scenes[C]// Proceedings of the 2010 Conference on Visual Media Production, Washington, DC, USA: IEEE Computer Society, 2010.
[11] Ma K, Li H, Yong H W, et al. Robust multi–exposure image fusion: a structural patch decomposition approach[J]. IEEE Transactions on Image Processing, 2017, 26(5): 2519–2532.
[12] Lee J Y, Matsushita Y, Shi B X, et al. Radiometric calibration by rank minimization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(1): 144–156.
[13] Hu Y, Zhang D B, Ye J P, et al. Fast and accurate matrix completion via truncated nuclear norm regularization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(9): 2117–2130.
[14] Gallo O, Gelfand N, Chen W C, et al. Artifact-free high dy-namic range imaging[C]// IEEE International Conference on Computational Photography, San Francisco CA, USA: IEEE, 2009: 1–7.
[15] [Online]. Available: http: //users.soe.ucsc.edu/orazio/deghost. html.
[16] Heo Y S, Lee K M, Lee S U, et al. Ghost–free high dynamic range imaging[C]// Proceedings of the 10th Asian Conference of Computer Vision (ACCV), New Zealand: Queenstown, 2010: 486–500.
[17] Hu J, Gallo O, Pulli K, et al. HDR deghosting: how to deal with saturation [C]// IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA: IEEE, 2013: 1163–1170.
[18] Sen P, Kalantari N K, Yaesoubi M, et al. Robust patch–based HDR reconstruction of dynamic scenes[J]. ACM Transactions on Graphics, 2012, 31(6): 1–11.
[19] Oh T H, Lee J Y, Kweon I S. High dynamic range imaging by a rank-1 constraint[C]// IEEE International Conference on Im-age Processing (ICIP), Melbourne, VIC, Australia: IEEE, 2013: 790–794.
[20] Lee Chul. Ghost-free high dynamic range imaging [EB/OL]. http://cilab.pknu.ac.kr/research/rm_hdr.html.
[21] Kara uzovi -Had iabdi K, Telalovi J H, Mantiuk R K. As-sessment of multi-exposure HDR image deghosting meth-ods[J]. Computers & Graphics, 2017, 63: 1–17.
