Artistic Rendering on Game Wallpaper Images using Rough Pencil Effects
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초록
In this paper, we present an advanced pencil rendering framework for game wallpaper images that produces a diverse of pencil drawing styles including detailed illustration and rough sketch. Our framework is designed based on a noise generalization scheme that enriches the types of noise which is used in convolution-based pencil rendering framework. The noise used in the conventional framework is a pixel-sized particle whose value reflects the tone of an image. Our scheme extends the shape and the distribution of noise. Instead of using a pixel-sized particle, we use a rectangle-shaped noise whose length, width and orientation are controlled. The performance of the pencil rendering framework is pursued by simplifying the convolution filter. As a result, we produce pencil drawings of various styles. Furthermore, the segmentation algorithm is combined to support local level-of-detail approach that improves the visual attendance of the image. We have proved the excellence of our algorithm by experimenting various game background images including material, portrait, headshot portrait and crime scene. The next step of our framework is to extend the rendering technique to various graphite media.
Abstract
In this paper, we present an advanced pencil rendering framework for game wallpaper images that produces a diverse of pencil drawing styles including detailed illustration and rough sketch. Our framework is designed based on a noise generalization scheme that enriches the types of noise which is used in convolution-based pencil rendering framework. The noise used in the conventional framework is a pixel-sized particle whose value reflects the tone of an image. Our scheme extends the shape and the distribution of noise. Instead of using a pixel-sized particle, we use a rectangle-shaped noise whose length, width and orientation are controlled. The performance of the pencil rendering framework is pursued by simplifying the convolution filter. As a result, we produce pencil drawings of various styles. Furthermore, the segmentation algorithm is combined to support local level-of-detail approach that improves the visual attendance of the image. We have proved the excellence of our algorithm by experimenting various game background images including material, portrait, headshot portrait and crime scene. The next step of our framework is to extend the rendering technique to various graphite media.
참고문헌 (13)
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