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Art‐photographic detail enhancement
Author(s) -
Son Minjung,
Lee Yunjin,
Kang Henry,
Lee Seungyong
Publication year - 2014
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/cgf.12298
Subject(s) - tone mapping , computer science , computational photography , high dynamic range , photography , piecewise , computer vision , artificial intelligence , computer graphics (images) , image (mathematics) , tone (literature) , high dynamic range imaging , range (aeronautics) , scaling , boosting (machine learning) , dynamic range , image processing , mathematics , art , visual arts , mathematical analysis , materials science , geometry , literature , composite material
We present a novel method for enhancing details in a digital photograph, inspired by the principle of art photography. In contrast to the previous methods that primarily rely on tone scaling, our technique provides a flexible tone transform model that consists of two operators: shifting and scaling. This model permits shifting of the tonal range in each image region to enable significant detail boosting regardless of the original tone. We optimize these shift and scale factors in our constrained optimization framework to achieve extreme detail enhancement across the image in a piecewise smooth fashion, as in art photography. The experimental results show that the proposed method brings out a significantly large amount of details even from an ordinary low‐dynamic range image.