• Journal of the Korea Computer Graphics Society
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• v.16 no.2
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• pp.19-28
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• 2010

In this paper, we proposes a method that analyzes the characteristics and patterns of color juxtaposition based on the color wheel used by pointillism painter and an algorithm that generates pointillistic images by applying obtained analysis data. In order to analyze color juxtaposition of pointillism, we extract the stroke colors of real painting and find the most similar probability density functions(PDFs) through applying good-of-fit tests for the probabilistic distribution of stroke colors. By performing the juxtaposition of color based on the found PDFs, we can convert input image to pointillistic image effectively. It can be seen that this study shows reliability in the use of data obtained from actual paintings and that leads to perform a reasonable work.

• Journal of Korea Multimedia Society
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• v.11 no.4
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• pp.554-565
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• 2008

The French neo-impressionist painter, George Seurat, introduced pointillism under the theory that the individual pigments of colors on the canvas are reconstructed on the human retina. Pointillism is a painting technique in which many small brush strokes are combined to form a picture in the canvas. When such a painting is seen from a far, the individual stroke color are unnoticeable and they are seen as intermixed colors. This is called juxtaposed color mixture. In this paper, we present a painterly rendering method for generating the pointillism images. For expressing countless separate dots which shown in the pointillism works, we propose a hierarchical points structure using Wang The method. Also a user defined palette is constructed based on the usage that Neo-Impressionist painter works on his palette. Lastly, based on this, a probability algorithm will be introduced, which divides the colors in the image(sampled by hierarchical point structure) into juxtaposed colors. A hierarchical points set which undergone juxtaposed color division algorithm is converted into brush strokes.