<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

High Dynamic Range Imaging by Perceptual Logarithmic Exposure Merging

Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, Romania

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"High Dynamic Range Imaging by Perceptual Logarithmic Exposure Merging"}

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)....

High Dynamic Range Imaging by Perceptual Logarithmic Exposure Merging

Data publikacji: 30 gru 2015

Zakres stron: 943 - 954

Otrzymano: 03 lis 2014

DOI: https://doi.org/10.1515/amcs-2015-0067

Słowa kluczowe
logarithmic image processing, human visual system, high dynamic range

© 2015 Corneliu Florea et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

High Dynamic Range Imaging by Perceptual Logarithmic Exposure Merging

Data publikacji: 30 gru 2015

Zakres stron: 943 - 954

Otrzymano: 03 lis 2014

DOI: https://doi.org/10.1515/amcs-2015-0067

Słowa kluczowelogarithmic image processing, human visual system, high dynamic range

© 2015 Corneliu Florea et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
logarithmic image processing, human visual system, high dynamic range