基于滤波器的局部自适应全变分图像去噪模型  

Local adaptive total variation image denoising model based on filters

作　　者：史宝丽[1] 何泊[1] 王治国[1] 庞志峰[1] 

机构地区：[1]河南大学数学与信息科学学院,河南开封475004

出　　处：《计算机工程与应用》2016年第4期158-162,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.U1304610;No.11226192);河南省教育厅科学技术研究重点项目(No.14A110018);河南省科技计划项目(No.132300410150);河南大学校内基金(No.2012YBZR029)

摘　　要：综合利用冲击滤波器和非线性各向异性扩散滤波器对含噪图像做预处理,然后基于边缘检测函数建立反映图像局部特征的自适应权函数,构建能同时兼顾图像平滑去噪与边缘保留的局部自适应性的全变分模型,并建议用本原对偶算法快速求解。实验结果表明,同传统的全变分图像去噪模型相比,该局部自适应全变分模型在消除噪声的同时能很好地保持图像的边缘轮廓和纹理等细节特征,得到的复原图像在客观评价标准和主观视觉效果方面均有所提高。Based on combining shock filter with anisotropic diffusion filter to preprocess the noisy images,the edge-enhanced image is got while smoothing out the noise in this paper. By using the edge detection filters to choose the partial adaptive parameters based on the preprocessed images,a local adaptive total variation regularization model is proposed for the image denoising problem. The proposed model can keep the balance between noises smoothing and edges preserving adaptively.Furthermore,a first-order primal-dual algorithm is used to solve the proposed the model. The numerical results show that the proposed model and algorithm can effectively smooth out the noise,at the same time it can greatly keep the details and texture features of images. Then the proposed model can improve the objective evaluation standard and subjective visual effect.

关 键 词：图像去噪 自适应权函数 全变分模型 本原对偶算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]