High Dynamic Range Imaging by Perceptual Logarithmic Exposure Merging

Autor:	Florea Corneliu, Vertan Constantin, Florea Laura
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	logarithmic image processing human visual system high dynamic range Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	International Journal of Applied Mathematics and Computer Science, Vol 25, Iss 4, Pp 943-954 (2015)
Druh dokumentu:	article
ISSN:	2083-8492 2015-0067
DOI:	10.1515/amcs-2015-0067
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/dc56df41a3a7448c95a72cc429363bb1 Zobrazit plný text záznamu View record in DOAJ