  Dual-panel displays require local dimming algorithms in order to reproduce
content with high fidelity and high dynamic range. In this work, a novel deep
learning based local dimming method is proposed for rendering HDR images on
dual-panel HDR displays. The method uses a Convolutional Neural Network to
predict backlight values, using as input the HDR image that is to be displayed.
The model is designed and trained via a controllable power parameter that
allows a user to trade off between power and quality. The proposed method is
evaluated against six other methods on a test set of 105 HDR images, using a
variety of quantitative quality metrics. Results demonstrate improved display
quality and better power consumption when using the proposed method compared to
the best alternatives.
