  In this paper we emphasize a similarity between the Logarithmic-Type Image
Processing (LTIP) model and the Naka-Rushton model of the Human Visual System
(HVS). LTIP is a derivation of the Logarithmic Image Processing (LIP), which
further replaces the logarithmic function with a ratio of polynomial functions.
Based on this similarity, we show that it is possible to present an unifying
framework for the High Dynamic Range (HDR) imaging problem, namely that
performing exposure merging under the LTIP model is equivalent to standard
irradiance map fusion. The resulting HDR algorithm is shown to provide high
quality in both subjective and objective evaluations.
