重庆理工大学学报：自然科学Issue(9)：43-47,5.
基于特征探测函数的图像去噪
Image Denoising Based on Feature Detection Function
摘要
Abstract
Firstly, we construct an image feature detection function in term of the thought of image structure tensor. Secondly, combining the advantage of the TV regularization term＇ s anisotropic diffusion which can protect image edge well with the superiority of the high order PDE which can reduce stair case, we propose a new weighted image denoising model. Finally, we offer some experimental simula- tions and compare the results of our model with those of TV model. The results show that the restoration effect of our model is more effective than that of TV model.关键词
TV模型/高阶PDE/特征探测函数/图像去噪Key words
TV model/high order PDE/feature detection function/image denoising分类
计算机与自动化引用本文复制引用
任丽莎,贾瑞芝,杨莹..基于特征探测函数的图像去噪[J].重庆理工大学学报：自然科学,2011,(9):43-47,5.基金项目
重庆市科委项目（CSTC,2010BB2310）. （）
