摘要

While many tone mapping operators have been proposed, tuning their parameters remains a challenging task. In this work, we present a parameter tuning algorithm that can optimize the parameters of tone mapping operators automatically by minimizing the distortion in visual saliency caused by the process of tone mapping. The algorithm employs an improved saliency detection model for HDR images. Saliency distortion is quantified as the Kullback-Leibler divergence between the saliency distributions of the tone mapped images and those of the corresponding HDR images. We show that the minimization can be accomplished by employing an evolution strategy. Experiments using several tone mapping operators and a number of HDR images demonstrate the effectiveness of our algorithm. Statistical analyses are conducted to assess the improvement over default parameter settings and prior work.

  • 出版日期2015-11