A stained glass window possesses a distinctive style partly due to the unique color ranges produced through the interaction of color enamels, glass and light. The imposition of lead calmes further separates the appearance of stained glass from other mediums. This project presents a method of re-styling an image so that it approximates the visual appearance of a work of stained glass. To this end, a novel approach has been developed which involves image warping, segmentation, querying, and colorization along with texture synthesis. In the method, a given input image is first segmented. Each segment is subsequently transformed to match real segments of stained glass queried from a database of image exemplars. By using real sources of stained glass, the method produces high quality results in this nascent area of non-photorealistic rendering. The generation of the stained glass requires only modest amounts of user interaction. This interaction is facilitated with a unique region-merging tool.



Stephen Brooks. Image-Based Stained Glass. In IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 6, pp. 1547-1558, Nov/Dec, 2006. (PDF)


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