High Dynamic Range Imaging: Spatially Varying Pixel Exposures

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High Dynamic Range Imaging: Spatially Varying Pixel Exposures
While real scenes produce a wide range of brightness variations, vision systems use low dynamic range image detectors that typically provide 8 bits of brightness data at each pixel. The resulting low quality images greatly limit what vision can accomplish today. This paper proposes a very simple method for significantly enhancing the dynamic range of virtually any imaging system. The basic principle is to simultaneously sample the spatial and exposure dimensions of image irradiance. One of several ways to achieve this is by placing an optical mask adjacent to a conventional image detector array. The mask has a pattern with spatially varying transmittance, thereby giving adjacent pixels on the detector different exposures to the scene. The captured image is mapped to a high dynamic range image using an efficient image reconstruction algorithm. The end result is an imaging system that can measure a very wide range of scene radiances and produce a substantially larger number of brightnes...
Shree K. Nayar, Tomoo Mitsunaga
Added 12 Oct 2009
Updated 30 Oct 2009
Type Conference
Year 2000
Where CVPR
Authors Shree K. Nayar, Tomoo Mitsunaga
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