17 citations · 19 across the 5 of their papers we have counts for
5 papers
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
Francesco Banterle, Demetris Marnerides, Kurt Debattista +1
Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods…
Deep HDR Hallucination for Inverse Tone Mapping
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas m…
Deep Controllable Backlight Dimming
Lvyin Duan, Demetris Marnerides, Alan Chalmers +2
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 dimmin…
Spectrally Consistent UNet for High Fidelity Image Transformations
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista
Convolutional Neural Networks (CNNs) are the current de-facto models used for many imaging tasks due to their high learning capacity as well as their architectural qualities. The u…
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
Demetris Marnerides, Thomas Bashford-Rogers, Jonathan Hatchett +1
High dynamic range (HDR) imaging provides the capability of handling real world lighting as opposed to the traditional low dynamic range (LDR) which struggles to accurately represe…