Expert evaluation of deghosting algorithms for multi - exposure high dynamic range imaging
نویسنده
چکیده
In this work we analyze the results produced by high dynamic range (HDR) multi-exposure merging algorithms that handle motion artefacts. Within this analysis, we introduce the criteria for the evaluation of these algorithms. In order to perform a comprehensive evaluation we propose a dataset categorized into different types of scenes, each posing a challenge for the evaluated algorithm. For the analysis, we select and customize a tone-mapping operator (TMO), which minimizes a chance for TMO artefacts and allows us to inspect resulting HDR images on a conventional sRGB display. We show the results of five state-of-the-art algorithms evaluated based on the proposed criteria by performing expert evaluation analysis and draw a conclusion for each of these algorithms.
منابع مشابه
Subjective and Objective Evaluation of Multi-exposure High Dynamic Range Image Deghosting Methods
To avoid motion artefacts when merging multiple exposures into an HDR image, a number of deghosting algorithms have been proposed. These algorithms, however, do not work equally well on all types of scenes, and some may even introduce additional artefacts. Even though subjective methods of evaluation provide reliable means of testing, they need to be repeated for each new proposed method or eve...
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