Abstract
In this paper, we present a novel tone mapping algorithm based on multi-scale histograms and fusion (MS-Hist), for displaying wide dynamic range (WDR) images and better detection of objects such as human faces. The proposed algorithm tone maps pixels based on multiple scale local histograms, where small scales are used to preserve local contrast and large scales allow to maintain the global brightness consistency. A database of WDR images of humans depicted in high-contrast light conditions was created to validate and compare the performance of various algorithms for face detection in tasks such as biometric based identification. Our experimental results show that the proposed MS-Hist algorithm preserves image detail, brightness and high local contrast, and can benefit tasks such as face detection in WDR images.