Optimal HDR reconstruction with linear digital cameras | IEEE Conference Publication | IEEE Xplore

Optimal HDR reconstruction with linear digital cameras


Abstract:

Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a we...Show More

Abstract:

Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a weighted average of the scaled input exposures. However, there is no clear consensus on the appropriate weighting to use. We propose a weighting function that produces statistically optimal estimates under the assumption of compound-Gaussian noise. Our weighting is based on a calibrated camera model that accounts for all noise sources. This model also allows us to simultaneously estimate the irradiance and its uncertainty. We evaluate our method on simulated and real world photographs, and show that we consistently improve the signal-to-noise ratio over previous approaches. Finally, we show the effectiveness of our model for optimal exposure sequence selection and HDR image denoising.
Date of Conference: 13-18 June 2010
Date Added to IEEE Xplore: 05 August 2010
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Conference Location: San Francisco, CA, USA

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