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23‐1: HDR Imaging by Generating Multi‐Exposures from a Single Image for HDR/LDR Displays
Author(s) -
Park Jae Sung,
Kil Tae Ho,
Cho Nam Ik
Publication year - 2017
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.11632
Subject(s) - tone mapping , high dynamic range , computer vision , artificial intelligence , multiple exposure , high dynamic range imaging , computer science , smoothing , dynamic range , computer graphics (images) , image (mathematics) , enhanced data rates for gsm evolution
This paper presents a high dynamic range (HDR) imaging method that generates and fuses multiple exposures from a single image. We approximately estimate illumination using an edge‐preserving smoothing filter and adjusts it to several levels for generating multiple illuminations that correspond to multiple exposures in HDR image acquisition techniques. The low dynamic range (LDR) images of multi‐exposures are blended for reconstructing an HDR or tone‐mapped‐like LDR image for HDR/LDR displays.