“Robust movement detection based on a new similarity index for HDR imaging” by Li, Rahardja, Wu, Zhu and Xie

  • ©Zhengguo Li, Susanto Rahardja, Shiqian Wu, Zijian Zhu, and Shoulie Xie

  • ©Zhengguo Li, Susanto Rahardja, Shiqian Wu, Zijian Zhu, and Shoulie Xie

Conference:


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Entry Number: 75

Title:

    Robust movement detection based on a new similarity index for HDR imaging

Presenter(s)/Author(s):



Abstract:


    It is known that a high dynamic range (HDR) image can be produced by sequentially capturing a set of low dynamic range (LDR) images with different exposure times [Debevec and Malik 1997]. However, ghosting artifacts could be produced via this method when there are moving objects in a scene. In this poster, a similarity index is first introduced for such LDR images by using intensity mapping functions (IMFs) among them. The index is then applied to detect moving objects such that ghosting artifacts are removed from the eventual HDR image. The details are given as below.

References:


    Debevec, P. E. and Malik, J. 1997. Rendering high dynamic range radiance maps from photographs. In Proceedings of SIGGRAPH 1997, 369–378. Google ScholarDigital Library
    FDRTOOLS, PHOTOMATIX, AND QTPFSGUI 2009. http://fdrtools.com/front_e.php, http://www.hdrsoft.com/, http://qtpfsgui.sourceforge.net/.Google Scholar
    Grossberg M. and Nayar S. 2003. Determining the camera response from images: what is knowable?. IEEE Trans. on Image Processing 25, 11 (Nov.), 1455–1467. Google ScholarDigital Library


Additional Images:

©Zhengguo Li, Susanto Rahardja, Shiqian Wu, Zijian Zhu, and Shoulie Xie ©Zhengguo Li, Susanto Rahardja, Shiqian Wu, Zijian Zhu, and Shoulie Xie

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