Unified Reconstruction of Raw HDR Video Data
J. Unger; S. Hajisharif; J. Kronander Linköping University, Norrköping, Sweden
Abstract
Traditional high dynamic range (HDR) capture has mostly relied on merging images captured with different exposure times. While this works well for static scenes, dynamic scenes pose difficult challenges because registration of differently exposed images often leads to ghosting and other artifacts. This chapter reviews methods which capture HDR video frames within a single exposure time, using either multiple synchronized sensors or multiplexing of the sensor response spatially across the sensor. Most previous HDR reconstruction methods perform demosaicing, noise reduction, resampling (registration), ...
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