基于滤波器的局部自适应全变分图像去噪模型

作者:史宝丽;何泊;王治国;庞志峰 刊名:计算机工程与应用 上传者:达玲儒

【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。

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158 2016,52(4) ComputerEngineeringandApplications计算机工程与应用 基于滤波器的局部 自适应全变分图像去噪模型 史 宝丽 ,何 泊,王治 国,庞 志峰 SHI Baoli,HE Bo,W ANG Zhiguo,PAN G Zhifeng 河南大学 数学与信息科学学院,河南 开封 475004 College of M athematics and Information Science,Henan University,Kaifeng,Henan 475004,China SHI Baoli,HE Bo,W ANG Zhiguo,et a1.Local adaptive total variation image denoising m odel based on filters . Computer Engineering and Applications,2016,52(4):158—162. Abstract:Based on combining shock filter with anisotropic diusion 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 mode1.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. Key words:image denoising;adaptive Weighted function;total variation model;primal—dual,algorithm 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

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