计算机工程与应用2019，Vol.55Issue(1)：210-216,7.DOI:10.3778/j.issn.1002-8331.1709-0295
一种去除椒盐噪声带L1保真项的混合变分模型
Mixed Variational with L1 Fidelity Model for Removal of Salt and Pepper Noise
摘要
Abstract
Image denoising is an important branch in the field of digital image processing. The purpose is to remove the noise while maintaining the useful information such as contrast, clarity and texture of the image. It is the premise of image segmentation, feature extraction and target recognition and other image processing process. In order to effectively suppress the impulse noise and overcome the shortages of the harmonic model and the TV-L1 model, a hybrid variational model with fidelity items for impulsive noise denoising is proposed. The numerical algorithm is realized by the augmented Lagrangian algorithm. The de-noising effect of the image is evaluated by peak signal-to-noise ratio, root mean square error. The experimental results show that the model has higher peak signal to noise ratio than other types of existing models, effectively reducing the root mean square error, and CPU time is shorter. This model has better denoising performance, a better visual effect is obtained. Not only the image quality is improved, but also the effectiveness is confirmed objectively.关键词
图像去噪/变分法/偏微分方程/混合去噪模型/数值仿真Key words
image denoising/variational method/partial differential equation/mixed denoising model/numerical simulation分类
信息技术与安全科学引用本文复制引用
张龙,刘朝霞,刘洪琛..一种去除椒盐噪声带L1保真项的混合变分模型[J].计算机工程与应用,2019,55(1):210-216,7.基金项目
中央民族大学硕士研究生自主科研项目(No.10301-0170040601-153). （No.10301-0170040601-153）
