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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/41782 How to cite
Title: Best algorithms for HDR image generation. A study of performance bounds
Authors: Aguerrebere, Cecilia
Delon, Julie
Gousseau, Yann
Musé, Pablo
Type: Artículo
Keywords: High dynamic range imaging, Irradiance estimation, Exposure bracketing, Multiexposure fusion, Camera acquisition model, Noise modeling, Censored data, Exposure saturation, Cramér–Rao lower bound
Descriptors: Procesamiento de Señales
Issue Date: 2014
Abstract: Since the seminal work of Mann and Picard in 1995, the standard way to build high dynamic range (HDR) images from regular cameras has been to combine a reduced number of photographs captured with different exposure times. The algorithms proposed in the literature differ in the strategy used to combine these frames. Several experimental studies comparing their performances have been reported, showing in particular that a maximum likelihood estimation yields the best results in terms of mean squared error. However, no theoretical study aiming at establishing the performance limits of the HDR estimation problem has been conducted. Another common aspect of all HDR estimation approaches is that they discard saturated values. In this paper, we address these two issues. More precisely, we derive theoretical bounds for the performance of unbiased estimators for the HDR estimation problem. The unbiasedness hypothesis is motivated by the fact that most of the existing estimators, among them the best performing and most well known, are nearly unbiased. Moreover, we show that, even with a small number of photographs, the maximum likelihood estimator performs extremely close to these bounds. As a second contribution, we propose a general strategy for integrating the information provided by saturated pixels in the estimation process, hence improving the estimation results. Finally, we analyze the sensitivity of the HDR estimation process to camera parameters, and we show that small errors in the camera calibration process may severely degrade the estimation results
Publisher: SIAM
IN: SIAM Journal on Imaging Sciences, 2014, v. 7, no.1, pp. 1–34.
Citation: Aguerrebere, C, Delon, J, Gousseau, Y, Musé, P. "Best algorithms for HDR image generation. A study of performance bounds" SIAM Journal on Imaging Sciences, 2014, v. 7, no.1, doi 10.1137/120891952
Academic department: Procesamiento de Señales
Investigation group: Tratamiento de Imágenes
License: Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Appears in Collections:Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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