TY - CONF

T1 - Expert evaluation of deghosting algorithms for multi-exposure high dynamic range imaging

AU - Karaduzovic-Hadziabdic, K.

AU - Hasic Telalovic, J.

AU - Mantiuk, R.K.

PY - 2014/3/4

Y1 - 2014/3/4

N2 - 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.

AB - 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.

UR - http://www.ic1005-hdri.com/HDRi_2014.pdf

M3 - Paper

T2 - HDRi2014 - Second International Conference and SME Workshop on HDR imaging, Sarajevo, Bosnia and Herzegovina 4-5 March, 2014

Y2 - 3 January 0001

ER -