NDLI: High dynamic range imaging: spatially varying pixel exposures

Content Provider	IEEE Xplore Digital Library
Author	Nayar, S.K. Mitsunaga, T.
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., Columbia Univ., New York, NY, USA (Nayar, S.K.)
Abstract	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 radiance and produce a substantially larger number of brightness levels, with a slight reduction in spatial resolution. We conclude with several examples of high dynamic range images computed using spatially varying pixel exposures.
Starting Page	472
Ending Page	479
File Size	354383
Page Count	8
File Format	PDF
ISBN	0769506623
ISSN	10636919
DOI	10.1109/CVPR.2000.855857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dynamic range Pixel Optical imaging Layout Brightness Detectors Optical arrays Machine vision Sensor arrays Image reconstruction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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