Hojin Cho
ABSTRACT
High dynamic range (HDR) imaging aims to increase the dynamic range of imaging devices, capturing better representations of target scenes. Since the seminal work of Debevec and Malik [1997], tremendous progress has been achieved utilizing multiple images of different exposures that provide complementary brightness information of a scene. However, their application is limited to static scenes with no motions during the sequential capture of images, because changes between images can cause undesirable artifacts such as ghosts. Special imaging devices such as exposure-filtering masks [Nayar and Mitsunaga 2000] could reduce motion artifacts, but manufacturing costs have limited their practicality.
- Debevec, P. E., and Malik, J. 1997. Recovering high dynamic range radiance maps from photographs. In Proc. the 24th annual conference on Computer graphics and interactive techniques, SIGGRAPH '97, 369--378. Google Scholar
Digital Library
- Lenzen, F., and Scherzer, O. 2011. Partial differential equations for zooming, deinterlacing anddejittering. International Journal of Computer Vision (IJCV) 92, 2, 162--176. Google ScholarDigital Library
- Nayar, S., and Mitsunaga, T. 2000. High dynamic range imaging: spatially varying pixel exposures. In Proc. CVPR 2000, vol. 1, 472--479.Google Scholar
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