期刊文献+

基于小波域的图像噪声类型识别与估计 预览 被引量:27

IDETIFYING OF NOISE TYPES AND ESTIMATING OF NOISE LEVEL FOR A NOISY IMAGE IN THE WAVELET DOMAIN
在线阅读 下载PDF
分享 导出
摘要 提出了一种基于小波域分解的类型识别方法.该方法利用噪声图像的小波高频子带系数能量分布,对图像中最常出现的两类噪声:高斯噪声和椒盐噪声进行识别,并在此基础上对高斯噪声的方差和椒盐噪声的密度进行了估计.对大量含噪图像的实验结果表明:该方法对图像噪声类型的识别和噪声大小的估计都比较准确. A novel methodology for identifying noise types and estimating noise level was reported. The energy distribution of the HH subband's coefficients in the wavelet domain was used to distinguish Gaussian white noise and salt & pepper noise, which exist in images frequently. And the variance of the Gaussian white noise and the density of salt & pepper noise were estimated. The experiments on a wide variety of images indicate the veracity of distinguishing and estimating of noise.
作者 张旗 梁德群 樊鑫 李文举 ZHANG Qi 1, LIANG De-Qun 2, FAN Xin 3, LI Wen-Ju 4 (1.School of Automation and Electrical Engineering, Dalian Maritime University, Dalian 116026, China; 2.School of Information Technology, Dalian Maritime University, Dalian 116026, China; 3.Institute of Image Processing and Recognition, Xi’an Jiao Tong University, Xi’an 710049, China; 4.School of Computer and Information Technology, Liaoning Normal University, Dalian 116038, China)
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2004年第4期 281-285,共5页 Journal of Infrared and Millimeter Waves
关键词 小波变换 图像去噪 噪声类型识别 噪声估计 高斯噪声 椒盐噪声 wavelet transform image denoising noise type identification noise level estimation
  • 相关文献

参考文献5

  • 1[2]Rafael C Gonzalez, Richard E Woods. Digital Image Processing(Second Edition)[M].Beijing: Publishing House of Electron Industry (数字图像处理. 北京:电子工业出版社), 2002. 被引量:1
  • 2[3]Chang S Grace, Bin Yu, Martin Vetterli. Spatially adaptive wavelet thresholding with context modeling for image denoising[J]. IEEE Trans. on Image Processing, 2000, 9(9): 1522-1531. 被引量:1
  • 3[4]Meer P, Jolion J, Rosenfeld A. A fast parallel algorithm for blind estimation of noise variance[J]. IEEE Trans. on Pattern Algorithm and Machine Intelligence, 1990, 12(2): 216-223. 被引量:1
  • 4[5]Zhang Z, BlumRick S. On estimating the quality of noisy images[A]. IEEE International Conference on Acoustic Speech and Signal Processing, 1998, 5: 2897-2900. 被引量:1
  • 5[6]Donoho D L, Johnstone I M. Ideal spatial adaptaition via wavelet shrinkage[J]. Biometrika, 1994, 81: 425-455. 被引量:1

同被引文献216

引证文献27

二级引证文献96

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈