One-Shot Optimal Exposure Control

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6311)


We introduce an algorithm to estimate the optimal exposure parameters from the analysis of a single, possibly under- or over-exposed, image. This algorithm relies on a new quantitative measure of exposure quality, based on the average rendering error, that is, the difference between the original irradiance and its reconstructed value after processing and quantization. In order to estimate the exposure quality in the presence of saturated pixels, we fit a log-normal distribution to the brightness data, computed from the unsaturated pixels. Experimental results are presented comparing the estimated vs. “ground truth” optimal exposure parameters under various illumination conditions.


Exposure Control Automatic Exposure Control Photon Noise Optimal Exposure Saturated Pixel 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.University of CaliforniaSanta Cruz

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