@inproceedings{ddb546711e6645f497841e609d2a3744,
title = "Viewpoint adaptive display of HDR images",
abstract = "In this paper viewpoint adaptive display of HDR images incorporating the effects of ambient light is presented and evaluated. LED backlight displays may render HDR images, but while at a global scale a high dynamic range may be achieved, locally the contrast is limited by the leakage of light through the LC elements of the display. To render high quality images, the display with backlight dimming can compute the values of the LED backlight and LC elements based on the input image, information about the viewpoint of the observer(s) and information of the ambient light. The goal is to achieve the best perceptual reproduction of the specified target image derived from the HDR input image in the specific viewing situation including multiple viewers, possibly having different preferences. An optimization based approach is presented. Some tests with reproduced images are also evaluated subjectively and by image quality metrics as HDR-VDP-2.",
keywords = "LED display, Backlight, Dual modulation, Light field model, Quality",
author = "S{\o}ren Forchhammer and Claire Mantel",
year = "2017",
doi = "10.1109/ICIP.2017.8296467",
language = "English",
isbn = "9781509021758 ",
series = "2017 Ieee International Conference on Image Processing (icip)",
pages = "1177--1181",
booktitle = "Proceedings of 2017 IEEE International Conference on Image Processing",
publisher = "IEEE",
address = "United States",
note = "2017 IEEE 2nd International Conference on Signal and Image Processing , 2017 ICSIP) ; Conference date: 04-08-2017 Through 06-08-2017",
}