Transfer of content-aware vignetting effect from paintings to photographs

Zhang, X, Constable, M and Chan, K 2018, 'Transfer of content-aware vignetting effect from paintings to photographs', Multimedia Tools and Applications, vol. 77, no. 18, pp. 23851-23875.

Document type: Journal Article
Collection: Journal Articles

Title Transfer of content-aware vignetting effect from paintings to photographs
Author(s) Zhang, X
Constable, M
Chan, K
Year 2018
Journal name Multimedia Tools and Applications
Volume number 77
Issue number 18
Start page 23851
End page 23875
Total pages 25
Publisher Springer New York LLC
Abstract This paper discusses how the vignetting effect of paintings may be transferred to photographs, with attention to center-corner contrast. First, the lightness distribution of both are analyzed. The results show that the painters vignette is more complex than that achieved using common digital post-processing methods. It is shown to involve both the 2D and 3D geometry of the scene. Then, an algorithm is developed to transfer the vignetting effect from an example painting to a photograph. The example painting is selected as that has similar contextual geometry with the photograph. The lightness weighting pattern extracted from the selected example painting is adaptively blended with the input photograph to create vignetting effect. In order to avoid over-brightened or over-darkened regions in the enhancement result, the extracted lightness weighting pattern is corrected using a nonlinear curve. A content-aware interpolation method is also proposed to warp the lightness weighting to fit the contextual structure of the photograph. Finally, the local contrast is restored. Experiments show that the proposed algorithm can successfully perform this function. The resulting vignetting effect is more naturally presented with regard to esthetic composition as compared with vignetting achieved with popular software tools and camera models.
Subject Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) Contrast manipulation
Style transfer
DOI - identifier 10.1007/s11042-018-5629-x
Copyright notice © Springer Science+Business Media, LLC, part of Springer Nature 2018
ISSN 1380-7501
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