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Predicting Range of Acceptable Photographic Tonal Adjustments
Name
acceptable_adj.pdf
Description
Accepted version
Size
1.56 MB
Format
Adobe PDF
Checksum (MD5)
1922f1e6f1061123db7cbacbbe78821f
Author(s)
Jaroensri, Ronnachai
Paris, Sylvain
Hertzmann, Aaron
Bychkovsky, Vladimir
Durand, Fredo
Date Issued
April 2015
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Jaroensri, Ronnachai, Paris, Sylvain, Hertzmann, Aaron, Bychkovsky, Vladimir and Durand, Fredo. 2015. "Predicting Range of Acceptable Photographic Tonal Adjustments."
Version
Author's final manuscript
Abstract
© 2015 IEEE. There is often more than one way to select tonal adjustment for a photograph, and different individuals may prefer different adjustments. However, selecting good adjustments is challenging. This paper describes a method to predict whether a given tonal rendition is acceptable for a photograph, which we use to characterize its range of acceptable adjustments. We gathered a dataset of image acceptability'' over brightness and contrast adjustments. We find that unacceptable renditions can be explained in terms of over-exposure, under-exposure, and low contrast. Based on this observation, we propose a machine-learning algorithm to assess whether an adjusted photograph looks acceptable. We show that our algorithm can differentiate unsightly renditions from reasonable ones. Finally, we describe proof-of- concept applications that use our algorithm to guide the exploration of the possible tonal renditions of a photograph.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1109/iccphot.2015.7168372
