  In this paper, we present a novel tone mapping algorithm that can be used for
displaying wide dynamic range (WDR) images on low dynamic range (LDR) devices.
The proposed algorithm is mainly motivated by the logarithmic response and
local adaptation features of the human visual system (HVS). HVS perceives
luminance differently when under different adaptation levels, and therefore our
algorithm uses functions built upon different scales to tone map pixels to
different values. Functions of large scales are used to maintain image
brightness consistency and functions of small scales are used to preserve local
detail and contrast. An efficient method using local variance has been proposed
to fuse the values of different scales and to remove artifacts. The algorithm
utilizes integral images and integral histograms to reduce computation
complexity and processing time. Experimental results show that the proposed
algorithm can generate high brightness, good contrast, and appealing images
that surpass the performance of many state-of-the-art tone mapping algorithms.
This project is available at
https://github.com/jieyang1987/ToneMapping-Based-on-Multi-scale-Histogram-Synthesis.
