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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


Creative Commons License

Creative Commons License
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