Zhengguo Li
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.
- Debevec, P. E. and Malik, J. 1997. Rendering high dynamic range radiance maps from photographs. In Proceedings of SIGGRAPH 1997, 369--378. Google Scholar
Digital 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
Index Terms
- Robust movement detection based on a new similarity index for HDR imaging
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