ABSTRACT
Computational photography makes it possible to enhance traditional photographs digitally [1]. One of its branches is high-dynamic range imaging, which enables access to a wider range of color values than traditional digital photography. Typically, a high-dynamic range (HDR) image stores RGB color values as floating point numbers, enlarging the conventional discretized RGB format (8-bit per color channel) used for low-dynamic range (LDR) images [2]. It is possible to visualize the HDR images through a specifically-built HDR display [3], [4] or to perceptually adapt them for LDR displays using tone mapping [5], [6], [7].
