Recovering High Dynamic Range Radiance Maps from Photographs

By Paul E. Debevec, Jitendra Malik. International Conference on Computer Graphics and Interactive Techniques, 2023

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Analysis of human faces using a measurement-based skin reflectance model (2006, methodology): “We capture high-dynamic range (HDR) images [Debevec and Malik 1997] by immediately repeating the capture sequence with two different exposure settings.”
Exposing Digital Forgeries in Complex Lighting Environments (2007, background): “Assuming the reflectance term is constant across the surface, the measured intensity at a point in the image is given by [13]”
Learning to predict indoor illumination from a single image (2017, background): “Unfortunately, it is not possible to directly learn indoor lighting from LDR panoramas since their low dynamic range does not capture lighting properly [Debevec 1997].”
A Novel MPPT Technique Based on an Image of PV Modules (2017, methodology): “One effective method is presented in [26], which determines response function using a set of images taken for the same scene at different exposure durations.”
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging (2018, background): “To date, computational cameras have demonstrated new imaging capabilities, such as extended depth of field [Cossairt and Nayar 2010; Cossairt et al. 2010; Dowski and Cathey 1995], superresolution [Ben-Ezra et al. 2004], and high dynamic range [Debevec and Malik 1997; Mann et al. 1995] imaging.”