基于双侧滤波与短时傅里叶变换的改进双域滤波  

Improved Dual-Domain Filtering Based on Bilateral Filtering and Short-Time Fourier Transform

作　　者：汤少杰[1] 黄魁东[2] 吴青[1] 王郑耀 范九伦[4] 

机构地区：[1]西安邮电大学自动化学院,西安710121 [2]西北工业大学现代设计与集成制造技术教育部重点实验室,西安710072 [3]法视特(上海)图像科技有限公司,上海200127 [4]西安邮电大学通信与信息工程学院,西安710121

出　　处：《计算机科学与探索》2015年第11期1371-1381,共11页Journal of Frontiers of Computer Science and Technology

基　　金：国家自然科学基金Nos.61340040;61100165;陕西省教育厅专项科研计划项目No.15JK1673;西安邮电大学青年教师基金No.ZL2014-31;西北工业大学现代设计与集成制造技术教育部重点实验室开放课题基金No.KF201401~~

摘　　要：与单域图像去噪方式不同,双域图像去噪方式将工作于不同域的两种去噪算法有效结合到一起,能在保持图像细节的同时抑制图像噪声。但是双域图像去噪需已知图像噪声方差,在实践应用中很难精确确定。为此针对图像含有的非平稳噪声,基于双侧滤波与短时傅里叶变换(short-time Fourier transform,STFT)的双域滤波方法,开展三方面工作:(1)用含噪图像与双域滤波去噪图像间的差异图像估计噪声图像;(2)基于双侧滤波权系数估计非平稳噪声方差;(3)改进双域滤波,使之适应非平稳噪声情况。实验结果及相关定量分析表明,与相应的双域滤波相比改进算法可以更有效地保护图像细节并抑制图像噪声。Different from single-domain image denoising,dual-domain image denoising effectively combines two sorts of algorithms working in their respective domains together for preserving image details and suppressing noisesimultaneously.However,the variance of image is a prerequisite for the dual-domain image donoising,which is hard to be determined accurately in a practical application.As for the dual-domain filtering constructed specifically on the basis of bilateral filtering and short-time Fourier transform（STFT）,this paper carries out three aspects of work：（1） Estimating the noise image by subtracting dual-domain denoised image to noisy image;（2） Estimating the variance of nonstationary noise on the basis of weighting coefficients of bilateral filtering;（3） Adapting dual-domain filtering to the case of non-stationary noise.The experimental results and related quantitative analysis demonstrate that the proposed adaptive dual-domain filtering can more effectively suppress image noise while retaining image details.

关 键 词：图像去噪 双侧滤波 短时傅里叶变换 双域滤波 非平稳噪声 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]