Super High Dynamic Range Imaging

We propose a novel high dynamic range (HDR) imaging algorithm for the scenes that contain an extremely wide range of scene radiance. In the HDR imaging, several images are taken under different exposures. Those images usually have displacement from one another due to camera and/or object motions. The challenge of the super HDR imaging is to align those images because any image contains “lost” regions where texture information is completely lost due to overexposure or underexposure. We propose an image alignment algorithm based on similarities of region shapes instead of the similarities of the textures.

Datasets and source code can be found here.

Fig. Here, (a), (b), and (c) are overviews of our algorithm. (a) All input images are trinarized by luminance into three regions: saturated, appropriate, and blacked-out. Then, the image with the largest area of the appropriate region is defined as the reference image. (b) Images are aligned based on the shapes of segmented regions. (c) The HDR image is composed by merging aligned images.


Visual comparisons with other state-of-the-art algorithms for merging exposure images taken at different positions.

1ms 4ms 16ms 64ms 256ms 1024ms
Input Images.

Our result. Heo et al.[1] Sen et al.[2]

4ms 16ms 64ms 256ms 1024ms
Input Images.

Our result. Heo et al.[1] Sen et al.[2]

Compared Algorithms

[1] Y. S. Heo, K. M. Lee, S. U. Lee, Y. Moon, and J. Cha, “Ghost-free high dynamic range imaging,” in Computer Vision–ACCV 2010. Springer, 2011, pp. 486–500.
[2] P. Sen, N. K. Kalantari, M. Yaesoubi, S. Darabi, D. B. Goldman, and E. Shechtman, “Robust Patch-Based HDR Reconstruction of Dynamic Scenes,” ACM Transactions on Graphics (TOG) (Proceedings of SIGGRAPH Asia 2012), vol. 31, no. 6, pp. 203:1–203:11, 2012.


Super High Dynamic Range Imaging
Takehito Hayami, Masayuki Tanaka, Masatoshi Okutomi, Takashi Shibata and Shuji Senda
Proceedings of the 22nd International Conference on Pattern Recognition (ICPR), 2014 [ PDF] [ dataset] [ code]

速水健人, 田中正行, 奥富正敏, 柴田剛志, 仙田修司
第20回画像センシングシンポジウム(SSII2014), pp.IS1-39-1-6, June, 2014