Open AccessLow‐bit depth‐high‐dynamic range image generation by blending differently exposed images
Author(s) -
Jung JaeIl,
Ho YoSung
Publication year - 2013
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2012.0614
Subject(s) - high dynamic range , dynamic range , high dynamic range imaging , computer vision , computer science , artificial intelligence , luminance , tone mapping , range (aeronautics) , image (mathematics) , materials science , composite material
Recently, high‐dynamic range (HDR) imaging has taken the centre stage because of the drawbacks of low‐dynamic range imaging, namely detail losses in under‐ and over‐exposed areas. In this study, the authors propose an algorithm for HDR image generation of a low‐bit depth from two differently exposed images. For compatibility with conventional devices, HDR image generations of a large bit depth and bit depth compression are skipped. By using posterior probability‐based labelling, luminance adjusting and adaptive blending, the authors directly blend two input images into one while preserving the global intensity order as well as enhancing its dynamic range. From the experiments on various test images, results confirm that the proposed method generates more natural HDR images than other state‐of‐the‐art algorithms regardless of image properties.