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Photographic tone reproduction for digital images
Author(s) -
Erik Reinhard,
Michael Stark,
Peter Shirley,
James A. Ferwerda
Publication year - 2002
Publication title -
acm transactions on graphics
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 2.153
H-Index - 218
eISSN - 1557-7368
pISSN - 0730-0301
ISBN - 1-58113-521-1
DOI - 10.1145/566654.566575
Subject(s) - tone mapping , computer science , computer graphics (images) , high dynamic range imaging , high dynamic range , computer vision , computer graphics , tone (literature) , digital photography , graphics , task (project management) , range (aeronautics) , artificial intelligence , operator (biology) , digital imaging , photography , digital image , dynamic range , image (mathematics) , image processing , visual arts , art , engineering , systems engineering , repressor , aerospace engineering , chemistry , literature , biochemistry , transcription factor , gene
A classic photographic task is the mapping of the potentially high dynamic range of real world luminances to the low dynamic range of the photographic print. This tone reproduction problem is also faced by computer graphics practitioners who map digital images to a low dynamic range print or screen. The work presented in this paper leverages the time-tested techniques of photographic practice to develop a new tone reproduction operator. In particular, we use and extend the techniques developed by Ansel Adams to deal with digital images. The resulting algorithm is simple and produces good results for a wide variety of images.

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