A Method for Fast Multi-Exposure Image Fusion
Author(s) -
Seungcheol Choi,
Oh-Jin Kwon,
Jinhee Lee
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2694038
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This paper proposes a method for fusing multi-exposed images that can operate on digital cameras or smartphones. The proposed method consists of an automatic exposure bracketing algorithm that determines which exposures to capture and a newly proposed multi-exposure image fusion algorithm. This fusion algorithm attempts to improve the fusion performance on the basis of the recently proposed no-reference image-quality metrics, noting that the exposure change affects the change in the local luminance details, contrast, and colorfulness of a pixel. Experimental results of various sample image sequences show the superiority of the proposed fusion algorithm in terms of both objective and visual evaluations. By using the proposed method, users can capture high-dynamic range images directly on digital cameras or smartphones, without using offline image-processing software.
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