CompAesth 17: Workshop on Computational Aesthetics
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Browsing CompAesth 17: Workshop on Computational Aesthetics by Subject "abstraction"
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Item Detail and Color Enhancement in Photo Stylization(Association for Computing Machinery, Inc (ACM), 2017) Azami, Rosa; Mould, David; Holger Winnemoeller and Lyn BartramAbstraction in non-photorealistic rendering reduces the amount of detail, yet non-essential details can improve visual interest and thus make an image more appealing. In this paper, we propose an automatic system for photo manipulation that brightens an image and alters the detail levels. The process first applies an edgepreserving abstraction process to an input image, then uses the residual to reintroduce and exaggerate details in areas near strong edges. At the same time, image regions further from strong edges are brightened. The final result is a lively mixture of abstraction and enhanced detail.