Deghosting Evaluation and Database


We classify the different ghost detection and removal methods using several criteria as below:

  1. the need for a reference image
  2. the detect domain
  3. the fusion domain
Methods Ghost detection Ghost removal
Reference image needed Detect domain Fusion domain
No Yes Radiance Image Radiance Image
Reinhard[1] √   √      
Jacobs[2] √   √      
Sidibe[3] √   √   √  
Grosch[4] √   √   √  
Pece[5] √     √   √
Zhang[6] √     √   √
Gallo[7]   √ √   √  
Min[8]   √ √   √  
Sung[9]   √ √      
Hu[10]   √ √      
Zheng[11]   √ √      
Sen [12]   √ √      
Zhang[13]   √   √   √
Heo[14]         √  
Khan[15]         √  
Pedone[16]         √  
Kang[17]         √  
Zimmer[18]         √  
Hu[19]         √  
Lee[20] √   √   √  

You can view the deghosting performance of the methods mentioned above at Dataset.


Reference:

  1. E. Reinhard, G. Ward, S. Pattanaik, P. Debevec, High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting, Morgan Kauffman, 2005.
  2. K. Jacobs, C. Loscos, G. Ward, Automatic high dynamic range image generation of dynamic environments, IEEE Computer Graphics and Applications 28 (2) (2008):84-93.
  3. D. Sidibe, W. Puech, O. Strauss, Ghost detection and removal in high dynamic range images, Proceedings of the 17th European Signal Processing Conference〞EUSIPCO, 2009: 2240-2244.
  4. T. Grosch, Fast and robust high dynamic range image generation with camera and object movement, Proceedings of Vision, Modeling and Visualization Conference, 2006:277-284.
  5. F. Pece, J. Kautz, Bitmap movement detection: HDR for dynamic scenes, Proceedings of Visual Media Production (CVMP), 2010:1-8.
  6. W. Zhang, W-K. Cham, Gradient-directed composition of multi-exposure images, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2010: 530-536.
  7. O. Gallo, N. Gelfand, W.-C. Chen, M. Tico, K. Pulli, Artifact-free high dynamic range imaging, Proceedings of the IEEE International Conference on Computational Photography (ICCP), 2009:1-7.
  8. T.-H. Min, R.-H. Park, S.-K. Chang, Histogram based ghost removal in high dynamic range images, Proceedings of the International Conference on Multi media and Expo〞ICME, 2009:530-533.
  9. H-S. Sung, R-H. Park, D-K. Lee, S-K. Chang, Feature based ghost removal in high dynamic range imaging, International Journal of Computer Graphics & Animation (IJCGA) Vol.3, No.4, October 2013.
  10. J. Hu, O. Gallo, and K. Pulli, Exposure stacks of live scenes with hand-held cameras, ECCV, 2012.
  11. J. Zheng, Z. Li, Z. Zhu, S. Wu, and S. Rahardja, Hybrid patching for a sequence of differently exposed images with moving objects, IEEE Transactions on Image Processing, VOL. 22, NO. 12, December 2013.
  12. P. Sen, N. K. Kalantari, M. Yaesoubi, S. Darabi, D. B. Goldman, and E. Shechtman. Robust Patch-Based HDR Reconstruction of Dynamic Scenes. SIGGRAPH Asia, 2012.
  13. W. Zhang, W-K. Cham, Reference-guided exposure fusion in dynamic scenes, J. Vis. Commun. Image R.23(2012):467-475.
  14. Y.-S.Heo, K.-M.Lee, S.-U.Lee, Y.Moon, J.Cha, Ghost-free high dynamic range imaging, Proceedings of the 10th Asian Conference on Computer Vision〞ACCV, 2010:486-500.
  15. E.A. Khan, A.O. Akyuz, E. Reinhard, Ghost removal in high dynamic range images, Proceedings of the IEEE International Conference on Image Processing, 2006:2005-2008.
  16. M. Pedone, J. Heikkila, Constrain propagation for ghost removal in high dynamic range images, Proceedings of the International Conference on Computer Vision Theory and Applications〞VISAPP, 2008:36-41.
  17. S. B. Kang, M. Uyttendaele, S.Winder, and R. Szeliski. High dynamic range video, SIGGRAPH, 2003.
  18. H. Zimmer, A. Bruhn, and J.Weickert. Freehand HDR imaging of moving scenes with simultaneous resolution enhancement, Computer Graphics Forum, 2011.
  19. J. Hu, O. Gallo, K. Pulli, X. Sun, HDR Deghosting: How to deal with Saturation?,IEEE Conference on Computer Vision and Pattern Recogtion (CVPR), 2013.
  20. C Lee, Y Li and V Monga. Ghost-Free High Dynamic Range Imaging via Rank Minimization. IEEE Signal Processing Letters, vol. 21, no. 9, pp. 1045-1049, Sep. 2014.