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Metering for Exposure Stacks
Author(s) -
Gallo O.,
Tico M.,
Manduchi R.,
Gelfand N.,
Pulli K.
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03027.x
Subject(s) - high dynamic range , computer science , computer vision , histogram , set (abstract data type) , artificial intelligence , irradiance , range (aeronautics) , metering mode , sequence (biology) , image quality , image (mathematics) , computer graphics (images) , dynamic range , optics , physics , programming language , materials science , composite material , biology , genetics
When creating a High‐Dynamic‐Range (HDR) image from a sequence of differently exposed Low‐Dynamic‐Range (LDR) images, the set of LDR images is usually generated by sampling the space of exposure times with a geometric progression and without explicitly accounting for the distribution of irradiance values of the scene. We argue that this choice can produce sub‐optimal results both in terms of the number of acquired pictures and the quality of the resulting HDR image. This paper presents a method to estimate the full irradiance histogram of a scene, and a strategy to select the set of exposures that need to be acquired. Our selection usually requires a smaller or equal set of LDRs, yet produces higher quality HDR images.