반응-확산 모델 기반의 연속적인 톤의 표현

Continuous Tone Representation based Reaction-Diffusion Model

In this paper, we proposed novel continuous tone representational method based reaction-diffusion model. We extended previous related research of hedcut-style rendering by adding controllability to reaction-diffusion based texture generation method. These controls includes pattern size and pattern direction for various style rendering. Our method is comparable with stipping method which can generate artistic style rendering with continuous tone representation of input images. While stippling can show stable tonal results for low density points area, high density region which stipples redundant is suffer from non-linear brightness. On the contrary, our method shows stable tonal results for all brightness spans. We also present anisotropic diffusion for directional pattern generation which can applied to more various style rendering. In this contribution includes mathematical model and results of various style.