局部结构自适应的图像扩散

Local-structure-adapted Image Diffusion

提出一种新的局部结构自适应图像扩散算法.在图像扩散过程中,传导系数不仅与梯度值有关,而且受到局部结构的影响.首先根据局部结构将像素分成三种类型,对不同类型定义不同的传导系数函数,再由这些函数根据梯度计算出扩散流量.由于考虑到了局部结构信息,可以在保留图像精细结构的同时快速、有效地滤除无规则的噪声.在合成测试图和实际图像上的实验结果表明,本文所提出的算法优于一些典型的图像扩散算法.

A novel local-structure-adapted image diffusion algorithm is proposed. During the image diffusion, the conduction coefficient is determined not only by its gradient but also by its local structure. First, pixels are classified into three basic types, that is, isolated, image structure, and flap region, according to their local structure. Different conduction hmctions are defined for different pixel types to calculate their diffusion flux based on gradients. With local image structure taken into account, fine image details can be preserved while non-structured noises are eliminated quickly and efficiently. Experimental results on both synthetic and real images show that the proposed algorithm outperforms many typical image diffusion algorithms.