Abstract
The range of light intensity in the real world greatly
exceeds what most existing devices can display. Various tone
mapping methods have been developed to render HDR (high
dynamic range) images or to increase local contrast of
conventionally captured images. While local (or spatially varying)
tone mapping methods are generally more effective they are also
prone to artifacts such as halos. Most existing methods for
evaluating tone-mapped images focus on preservation of
informative details and may not identify artifacts effectively. This
paper proposes an objective metric based on a monotonicity
measure that may serve as a baseline measure for artifacts due to
intensity reversal. A naïve method to compute the metric has a
high computational complexity of O(N2), where N is the total
number of pixels. To make the metric acceptable for interactive
applications, a fast algorithm with the complexity of O(N) is
presented. Experimental results using real-world images are
included to demonstrate the efficacy of both the metric and the fast
algorithm.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Recommended Citation
INC, HP, "A MONOTONICITY MEASURE WITH A FAST ALGORITHM FOR OBJECTIVE EVALUATION OF TONE MAPPING METHODS", Technical Disclosure Commons, (October 05, 2018)
https://www.tdcommons.org/dpubs_series/1573