Abstract
This chapter discusses how the vignetting effect of paintings may be transferred to photographs, with attention to centre-corner contrast. First, the lightness distribution of both is analysed. The results show that the painter’s vignette is more complex than that achieved using common digital post-processing methods. Specifically, it is shown to involve both the 2D geometry and 3D geometry of the scene. An algorithm is then developed to extract the lightness weighting from an example painting and transfer it to a photograph. Experiments show that the proposed algorithm can successfully perform this function. The resulting vignetting effect is more naturally presented with regard to aesthetic composition as compared with vignetting achieved with popular software tools and camera models.
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Zhang, X., Constable, M., Chan, K.L., Yu, J., Junyan, W. (2018). Vignetting Effect Transfer. In: Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs. Springer, Singapore. https://doi.org/10.1007/978-981-10-3561-6_9
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DOI: https://doi.org/10.1007/978-981-10-3561-6_9
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