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A computational approach to digital hand-painted printing patterns on cloth

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Abstract

This paper presented a novel computational approach to simulating hand-painted printing patterns on cloth, according to the real process of this ancient folk handicraft. A contour grid based method was specially designed so as to generate the contours of the printing patterns by inputting a contour image or a color image. Considering both the anisotropic structure of cloth and the influence from user’s strokes, we proposed the main direction guided anisotropic diffusion model (MDGADM) to compute the diffusion of dyes on cloth. Other interactions between dyes and cloth including the adsorption and evaporation were also incorporated to improve the accuracy and the realism. The algorithms of the boundary restriction and the contour enhancement were further developed to optimize the method. Various experiment results showed that our method can produce vivid hand-painted printing patterns on cloth of different woven structures. Our method provides users with a flexible artistic designing tool, and has great potential to protect and inherit this traditional handicraft.

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Correspondence to Shiguang Liu.

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Liu, S., Chen, D. A computational approach to digital hand-painted printing patterns on cloth. Multimed Tools Appl 75, 4577–4591 (2016). https://doi.org/10.1007/s11042-015-2492-x

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  • DOI: https://doi.org/10.1007/s11042-015-2492-x

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