Citation: | Li Baolei, Yang Min, Li Junjianget al. Denoising of micro-CT image based on improved NL-means algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(7): 833-837. (in Chinese) |
[1] Li Yawwen, Liang Zhuang. A new method for nondestructive internal microtomography of IC and vacuum microelectronic devices Proceedings of 14th Int.Vacuum of Microelectronics Conference.Davis: IEEE,2001:15-16 [2] Wevers M, Meester P DE. Microfocus X-ray computer tomography in materials researh 15th World Conference of NDT. Roma:AIPnD,2000:899-906 [3] 李玉彬,李向良,姜燕梅.微焦点X射线CT及其在无损检测中的应用[J].无损检测,1999,21(12):549-552 Li Yubin, Li Xiangliang, Jiang Yanmei. X-ray computed microtomography and its application to NDT[J]. NDT,1999,21(12):549-552(in Chinese) [4] Li Tianfang, Li Xiang, Wang Jing, et al. Nonlinear sinogram smoothing for low-dose X-ray CT[J]. IEEE Transactions on Nuclear Science,2004,51(5): 2505-2513 [5] Lu H, Li X, Hsiao I T, et al. Analytical treatment of noise for low-dose CT projection data by penalized weighted least-square smoothing in the K-L domain[J]. SPIE Med Imag,2002,4682:146-152 [6] Demirkaya K. Reduction of noise and image artifacts in computed tomography by nonlinear filtration of the projection images[J]. SPIE Med Imag,2001,4322:917-923 [7] Hsieh J. Adaptive streak artifact reduction in computed tomography resulting from excessive X-ray photon noise[J]. Med Phys, 1998, 25:2139-2147 [8] Babaud J, Witkin A, Baudin M, et al. Uniqueness of the Gaussian kernel for scale space filtering[J]. IEEE Trans Pattern Anal Machine Intell, 1986, 8:26-33 [9] Lindenbaum, Fischer M, Bruckstein A M. On Gabor contribution to image enhancement [J]. Pattern Recognition, 1994, 27:1-8 [10] 阮秋琦.数字图像处理学[M].北京:电子工业出版社,2007 Ruan Qiuqi. Digital image processing[M]. Beijing: Publishing House of Electronics Industry,2007(in Chinese) [11] Rudin L, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena, 1992, 60(1-4):259-268 [12] Chang S G, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression[J]. IEEE Transactions on Image Processing, 2000, 9(9):1532-1546 [13] Donoho D L. Denoising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1995, 41(3):613-627 [14] Pan Q, Zhang L, Dai G, et al. Two denoising methods by wavelet transform [J]. IEEE Transactions on Signal Processing, 1999,47(12): 3401-3406 [15] Yaroslavsky L P. Local adaptive image restoration and enhancement with the use of DFT and DCT in a running window Wavelet Applications in Signal and Image Processing IV. Bellingham,WA:SPIE,1996,2825:1-13 [16] Smith S M, Brady J M. SUSAN:a new approach to low level image processing[J]International Journal of Computer Vision,1997,23(1),45-78 [17] Buades A, Coll B, Morel J M. Nonlocal image and movie denoising[J]. Int J Comput Vis,2008,76:123-139 [18] Buades A, Coll B, Morel J M. A review of image denoising algorithms, with a newone, multiscale model[J]. Simul,2005,4:490-530 [19] Buades A, Coll B, Morel J M. A non-local algorithm for image denoising IEEE International Conference on Computervision and Pattern Recognition.Washington DC:IEEE Computer Society, 2005,2:60-65
|