电子学报2018，Vol.46Issue(3)：621-628,8.DOI:10.3969/j.issn.0372-2112.2018.03.016
一种基于曲率变分正则化的小波变换图像去噪方法
A Kind of Wavelet Transform Image Denoising Method Based on Curvature Variation Regularization
摘要
Abstract
Image detail feature and noise mainly focus on high frequency part of image, which will make some important features of image (such as edge and fine texture) broken during image denoising. Aimed at such problems, a kind of wavelet transform image denoising method based on curvature variation regularization is set forth in this paper. Firstly, the wavelet is used to extract the high frequency part of image. Secondly, the wavelet is used to make enhancement process for images to get the enhanced image. Because the level set curvature is an important description for its morphological characters, the level set curvature of enhanced image is used to establish a curvature-driven function. Then, the curvature-driven function will be introduced to a variation model as a correction factor to establish a curvature variation model which controls the whole structure of image. This model overcomes the error diffusion caused by lack of image gradient information in ROF model and also conforms to the morphological principle of image processing. Finally, the established curvature variation model is used to process the extracted high frequency part, the wavelet reconstruction is carried out with the processed high frequency coefficients and original low frequency coefficients to get the denoised image. The analysis and simulation indicates that the method can restrict the noise in an effective way and a high similarity of image structure can be got. So a superior denoising effect can be achieved.关键词
图像去噪/变分模型/驱动函数/水平集曲率/小波变换Key words
image denoising/variation model/driven function/level set curvature/wavelet transform分类
信息技术与安全科学引用本文复制引用
周先春,吴婷,石兰芳,陈铭..一种基于曲率变分正则化的小波变换图像去噪方法[J].电子学报,2018,46(3):621-628,8.基金项目
国家自然科学基金(No.61601229) （No.61601229）
江苏省"信息与通信工程"优势学科建设项目 （）
江苏省青蓝工程和江苏省高校自然科学研究项目(No.13KJB170016) （No.13KJB170016）
东南大学基本科研业务费资助项目(No.CDLS-2016-03) （No.CDLS-2016-03）
江苏省研究生实践创新计划项目(No.SJCX17-0263) （No.SJCX17-0263）
