SVG rendering of real images using data dependent triangulation
Proceedings of the 20th spring conference on Computer graphics
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Traditional raster images cannot be fitted to different display sizes dynamically. Although some vector conversion systems have provided with the ability to convert raster format data into vector format data, the sizes of files they produced are large and consume most of time in image rendering. In this study, we adopt the SVG developed by W3C for the target vector format. We use the vector contour searching algorithms for removing extra spaces, combining the slope of clips, and merging similar color regions to compress the vector images. It converts comic images from raster format to SVG vector format. The factors affecting image quality and compression efficiency are studied. Compared with the existing methods, ours has a better performance in image quality, compressed ratio, and image rendering speed. It also makes the converted image able to display in different platforms.