Paper
7 September 2010 High dynamic range video with ghost removal
Stephen Mangiat, Jerry Gibson
Author Affiliations +
Abstract
We propose a new method for ghost-free high dynamic range (HDR) video taken with a camera that captures alternating short and long exposures. These exposures may be combined using traditional HDR techniques, however motion in a dynamic scene will lead to ghosting artifacts. Due to occlusions and fast moving objects, a gradient-based optical flow motion compensation method will fail to eliminate all ghosting. As such, we perform simpler block-based motion estimation and refine the motion vectors in saturated regions using color similarity in the adjacent frames. The block-based search allows motion to be calculated directly between adjacent frames over a larger search range, yet at the cost of decreased motion fidelity. To address this, we investigate a new method to fix registration errors and block artifacts using a cross-bilateral filter to preserve the edges and structure of the original frame while retaining the HDR color information. Results show promising dynamic range expansion for videos with fast local motion.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Mangiat and Jerry Gibson "High dynamic range video with ghost removal", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779812 (7 September 2010); https://doi.org/10.1117/12.862492
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CITATIONS
Cited by 32 scholarly publications and 2 patents.
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KEYWORDS
High dynamic range imaging

Video

Image filtering

Motion estimation

Cameras

Optical filters

Optical flow

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