MATLAB implementations of various methods for selecting the low
dynamic range images to acquire to form an HDR image.

For the low-resolution LDR images and the high-resolution RAW images
images used in the experimental evaluation reported in the paper,
contact the author at: vanbeek@cs.uwaterloo.ca

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process.m

    %
    % Top level routine for testing methods for selecting
    % high resolution LDR images to acquire.
    %

barakat.m

    %
    % Select images to acquire by using the method proposed in:
    %
    %     @article{Barakat2008,
    %         author    = { Barakat, Neil and
    %                       Hone, A. Nicholas and
    %                       Darcie, Thomas E. },
    %         title     = { Minimal-Bracketing Sets for
    %                       High-Dynamic-Range Image Capture },
    %         journal   = { IEEE Transactions on Image Processing },
    %         volume    = { 17 },
    %         pages     = { 1864-1875 },
    %         year      = { 2008 }
    %     }
    %
    % The method has been modified to take into account camera noise
    % when choosing the Imin and Imax, and to fix a bug which causes
    % an infinite loop in the case where there are still dark
    % regions in the image at the longest available exposure.
    %

hasinoff.m

    %
    % Select images to acquire by solving the mixed integer optimization
    % problem proposed in:
    %
    %     @inproceedings{Hasinoff2010,
    %         author    = { Samuel W. Hasinoff and
    %                       Fr\'{e}do Durand and
    %                       William T. Freeman },
    %         title     = { Noise-Optimal Capture for High Dynamic Range
    %                       Photography },
    %         booktitle = CVPR,
    %         pages     = { 553-560 },
    %         year      = { 2010 }
    %     }
    %

seshadrinathan.m

    %
    % Select images to acquire by solving the optimization problem
    % proposed in:
    %
    %     @inproceedings{Seshadrinathan2012,
    %         author    = { Seshadrinathan, Kalpana and
    %                       Park, Sung Hee and
    %                       Nestares, Oscar },
    %         title     = { Noise and Dynamic Range Optimal Computational Imaging },
    %         booktitle = ICIP,
    %         pages     = { 2785-2788 },
    %         year      = { 2012 }
    %     }
    %

middle.m

    %
    % Select images to acquire by finding the image with the best
    % exposure and stepping up and down a fixed number of exposure
    % steps.
    %

setCovering.m

    %
    % Select high resolution LDR images to acquire, given a set of
    % low resolution JPEG images acquired from the live preview
    % stream and taken at each possible shutter speed setting,
    % by solving a set covering problem over the pixels in a
    % stream of low resolution JPEG images.
    %

histHDR.m

    %
    % Estimate the HDR histogram on a logarithmic scale from a set of
    % LDR JPEG images taken at each possible shutter speed setting.
    %
    % HDR histogram is constructed using the method proposed in:
    %
    %     @article{Gallo2012,
    %         author    = { Gallo, Orazio and
    %                       Tico, Marius and
    %                       Gelfand, Natasha and
    %                       Pulli, Kari },
    %         title     = { Metering for Exposure Stacks },
    %         journal   = { Eurographics },
    %         volume    = { 31 },
    %         pages     = { 479-488 },
    %         year      = { 2012 }
    %     }
    %

Miscellaneous support routines:

    check.m
    fInverse.m
    shutter.m
    snr.m