摘要
目的研究图像放大的非线性偏微分方程方法。方法基于线性偏微分图像放大方法的初边值条件,提出将具有曲率运动和边缘增强双重功能的非线性偏微分平滑去噪self-snake模型用于图像放大。结果实验证明具有曲率运动、边缘冲击特性和平滑去噪性能的非线性self-snake模型适合于放大图像,拓宽了非线性偏微分方法在图像放大领域的方法研究和应用范围。结论相对于线性偏微分方法self-snake模型是一种行之有效且好的非线性偏微分图像放大方法。
Aim To study image zooming on partial differential equation（PDE） method.Methods On the condition of the initial and boundary value of image zooming based on Linear PDE,the nonlinear self-snake model which has dual function of curvature motion and edge-enhancement is proposed and applied to image zooming.Results It was proved by the experiments that the nonlinear self-snake model can zoom image.The research of method and range of application is expanded in image zooming.Conclusion The self-snake method exhibits better performance in zooming image.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第1期73-75,共3页
Journal of Northwest University（Natural Science Edition）
基金
陕西省教育厅专项科研计划基金资助项目(09JK796)
关键词
图像放大
非线性扩散
边缘增强
曲率运动
image zooming
nonlinear diffusion
edge-enhancement
curvature motion
