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Real-Time Deep Image Retouching Based on Learnt...
Journal article

Real-Time Deep Image Retouching Based on Learnt Semantics Dependent Global Transforms

Abstract

Although artists' actions in photo retouching appear to be highly nonlinear in nature and very difficult to characterize analytically, we find that the net effects of interactively editing a mundane image to a desired appearance can be modeled, in most cases, by a parametric monotonically non-decreasing global tone mapping function in the luminance axis and by a global affine transform in the chrominance plane that are weighted by saliency. …

Authors

Gao Q; Wu X

Journal

IEEE Transactions on Image Processing, Vol. 30, , pp. 7378–7390

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

2021

DOI

10.1109/tip.2021.3104173

ISSN

1057-7149