Improving Reaction-Diffusion Based Tone Representation using Discontinuity Information
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Representation of continuous tones using a response-diffusion model is a technique using pattern formation of morphogens. Grayscale images can be converted into images with discrete brightness using a mathematical model of morphogenetic material. This method allows the image to be converted into dots and lines, which can be used to render images in various styles. This is based on the assumption that the brightness information of the image is transformed into form-forming material and produces a predictable result when simulated. In actual experiments, the assumptions are good for the video signal that does not change rapidly, but the result shows the artifact in the result image for the rapidly changing part. This is shown in the form of black lines in the part where the brightness difference is rapidly changed, and this part may be different from the signal of the original image. In order to solve this problem, this paper attempts to solve the problem by deriving a method to solve the problem in the reaction-diffusion model and suggesting a new calculation method. The proposed method solves this problem by detecting the part where the brightness changes abruptly and controlling it so that diffusion does not occur in this part.
Abstract
Representation of continuous tones using a response-diffusion model is a technique using pattern formation of morphogens. Grayscale images can be converted into images with discrete brightness using a mathematical model of morphogenetic material. This method allows the image to be converted into dots and lines, which can be used to render images in various styles. This is based on the assumption that the brightness information of the image is transformed into form-forming material and produces a predictable result when simulated. In actual experiments, the assumptions are good for the video signal that does not change rapidly, but the result shows the artifact in the result image for the rapidly changing part. This is shown in the form of black lines in the part where the brightness difference is rapidly changed, and this part may be different from the signal of the original image. In order to solve this problem, this paper attempts to solve the problem by deriving a method to solve the problem in the reaction-diffusion model and suggesting a new calculation method. The proposed method solves this problem by detecting the part where the brightness changes abruptly and controlling it so that diffusion does not occur in this part.
참고문헌 (18)
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