Human Visual System Model-Based Optimized Tone Mapping of High Dynamic Range Images

High dynamic range (HDR) image and video technology can provide significant picture quality improvement over the standard (SDR). However, when HDR content is represented on an SDR display, compression may result in deterioration. To address this problem, we propose optimized human visual system (HVS) response model-based tone-mapping algorithm to preserve perceptual responses between its tone-mapped image. First, measure HVS differences using a 2D histogram displayed device device. Then, formulate optimization problem minimize differences. By efficiently solving obtain optimal curve. Experimental results actual displays demonstrate that proposed provides superior compared with conventional algorithms terms of both subjective objective evaluations.