  High-dynamic-range (HDR) photography involves fusing a bracket of images
taken at different exposure settings in order to compensate for the low dynamic
range of digital cameras such as the ones used in smartphones. In this paper, a
method for automatically selecting the exposure settings of such images is
introduced based on the camera characteristic function. In addition, a new
fusion method is introduced based on an optimization formulation and weighted
averaging. Both of these methods are implemented on a smartphone platform as an
HDR app to demonstrate the practicality of the introduced methods. Comparison
results with several existing methods are presented indicating the
effectiveness as well as the computational efficiency of the introduced
solution.

Computer Vision and Pattern Recognition;Image and Video Processing