arXiv:2008.08352eess.IV
Deep Controllable Backlight Dimming
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Abstract
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.
I'm not sure halo is an issue with modern miniLEDs. I've actually worked with research-grade local dimming algorithms and it's relatively easy to get a perceptually nearly perfect picture if you have a calibrated backlight and some image processing software. These algorithms…
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