Poisson Compositing
Vision & Image Processing Lab, Department of Electrical Engineering, IIT Bombay, India
Abstract
Most of the real world scenes have a very high dynamic range.
However the common capture and display devices can handle only
a limited dynamic range. General approach to solve this problem
is to use multi-exposure images and composite them in the irradiance
domain to get a High Dynamic Range (HDR) image [Reinhard
et al. 2005]. The generated image will be able to represent the real
world scene faithfully. However, it needs to be tone-mapped to a
Low Dynamic Range (LDR) image for visualization in common
displays and printers. Generation of the high quality LDR image
of the scene directly from multi-exposure images even in the absence
of any knowledge of camera response function and the exposure
settings of the camera is of interest to graphics community.
We propose a gradient domain compositing technique to solve the
above problem and call it Poisson Compositing. We compare the
proposed methodology with similar existing techniques and show
that the proposed method is very fast and accurate.
Full Version
Short Paper (.pdf)
Results (Supplementary .pdf)
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