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Expert evaluation of deghosting algorithms for multi-exposure high dynamic range imaging

Karaduzovic-Hadziabdic, K. and Hasic Telalovic, J. and Mantiuk, R.K. (2014) Expert evaluation of deghosting algorithms for multi-exposure high dynamic range imaging. In: HDRi2014 - Second International Conference and SME Workshop on HDR imaging, Sarajevo, Bosnia and Herzegovina 4-5 March, 2014.

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Abstract

Abstract 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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: Research Publications
Departments: College of Physical and Applied Sciences > School of Computer Science
Date Deposited: 09 Dec 2014 16:33
Last Modified: 23 Sep 2015 02:59
URI: http://e.bangor.ac.uk/id/eprint/420
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