High dynamic range imaging by perceptual logarithmic exposure merging

Corneliu Florea; Constantin Vertan; Laura Florea

International Journal of Applied Mathematics and Computer Science (2015)

  • Volume: 25, Issue: 4, page 943-954
  • ISSN: 1641-876X

Abstract

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In this paper we emphasize a similarity between the logarithmic type image processing (LTIP) model and the Naka-Rushton model of the human visual system (HVS). LTIP is a derivation of logarithmic image processing (LIP), which further replaces the logarithmic function with a ratio of polynomial functions. Based on this similarity, we show that it is possible to present a unifying framework for the high dynamic range (HDR) imaging problem, namely, that performing exposure merging under the LTIP model is equivalent to standard irradiance map fusion. The resulting HDR algorithm is shown to provide high quality in both subjective and objective evaluations.

How to cite

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Corneliu Florea, Constantin Vertan, and Laura Florea. "High dynamic range imaging by perceptual logarithmic exposure merging." International Journal of Applied Mathematics and Computer Science 25.4 (2015): 943-954. <http://eudml.org/doc/275878>.

@article{CorneliuFlorea2015,
abstract = {In this paper we emphasize a similarity between the logarithmic type image processing (LTIP) model and the Naka-Rushton model of the human visual system (HVS). LTIP is a derivation of logarithmic image processing (LIP), which further replaces the logarithmic function with a ratio of polynomial functions. Based on this similarity, we show that it is possible to present a unifying framework for the high dynamic range (HDR) imaging problem, namely, that performing exposure merging under the LTIP model is equivalent to standard irradiance map fusion. The resulting HDR algorithm is shown to provide high quality in both subjective and objective evaluations.},
author = {Corneliu Florea, Constantin Vertan, Laura Florea},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {logarithmic image processing; human visual system; high dynamic range},
language = {eng},
number = {4},
pages = {943-954},
title = {High dynamic range imaging by perceptual logarithmic exposure merging},
url = {http://eudml.org/doc/275878},
volume = {25},
year = {2015},
}

TY - JOUR
AU - Corneliu Florea
AU - Constantin Vertan
AU - Laura Florea
TI - High dynamic range imaging by perceptual logarithmic exposure merging
JO - International Journal of Applied Mathematics and Computer Science
PY - 2015
VL - 25
IS - 4
SP - 943
EP - 954
AB - In this paper we emphasize a similarity between the logarithmic type image processing (LTIP) model and the Naka-Rushton model of the human visual system (HVS). LTIP is a derivation of logarithmic image processing (LIP), which further replaces the logarithmic function with a ratio of polynomial functions. Based on this similarity, we show that it is possible to present a unifying framework for the high dynamic range (HDR) imaging problem, namely, that performing exposure merging under the LTIP model is equivalent to standard irradiance map fusion. The resulting HDR algorithm is shown to provide high quality in both subjective and objective evaluations.
LA - eng
KW - logarithmic image processing; human visual system; high dynamic range
UR - http://eudml.org/doc/275878
ER -

References

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