A Model of Local Adaptation

Vangorp, Peter, Myszkowski, Karol, Graf, Erich and Mantiuk, Rafal K (2015) A Model of Local Adaptation. ACM Transactions on Graphics, 34 (6). ISSN 0730-0301 DOI https://doi.org/10.1145/2816795.2818086

article.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (13MB) | Preview


The visual system constantly adapts to different luminance levels when viewing natural scenes. The state of visual adaptation is the key parameter in many visual models. While the time-course of such adaptation is well understood, there is little known about the spatial pooling that drives the adaptation signal. In this work we propose a new empirical model of local adaptation, that predicts how the adaptation signal is integrated in the retina. The model is based on psychophysical measurements on a high dynamic range (HDR) display. We employ a novel approach to model discovery, in which the experimental stimuli are optimized to find the most predictive model. The model can be used to predict the steady state of adaptation, but also conservative estimates of the visibility (detection) thresholds in complex images. We demonstrate the utility of the model in several applications, such as perceptual error bounds for physically based rendering, determining the backlight resolution for HDR displays, measuring the maximum visible dynamic range in natural scenes, simulation of afterimages, and gaze-dependent tone mapping.

Item Type: Article
Uncontrolled Keywords: perception, local adaptation, tone mapping, visual metric, high dynamic range, glare
Subjects: T Technology > T Technology (General)
Divisions: Computing and Information Systems
Related URLs:
Date Deposited: 14 Feb 2017 10:31
URI: http://repository.edgehill.ac.uk/id/eprint/8677

Archive staff only

Item control page Item control page