Liu C, Szeliski R, Kang S B, et al. Automatic estimation and removal of noise from a single image [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(2):299-314.
[2]
Tomasi C, Manduchi R. Bilateral filtering for gray and color images [C]//Proceedings of IEEE International Conference on Computer Vision. Bambay, India: IEEE Computer Society, 1998: 839-846.
[3]
Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion [J]. IEEE Transactions on Pattern Analysis and Machines Intelligence, 1990, 12(7):629-639.
[4]
Buades A, Coll B, Morel J M. A non-local algorithm for image denoising [J]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC, USA: IEEE, 2005, 2: 60-65.
[5]
Kervrann C, Boulanger J. Optimal spatial adaptation for patch based image denoising [J]. IEEE Transactions on Image Processing, 2006, 15(10): 2866-2878.
[6]
Deledalle C A, Duval V, Salmon J. Non-local methods with shape-adaptive patches (NLM-SAP) [J]. Journal of Mathematical Imaging and Vision, 2012, 43(2): 103-120.
[7]
Kleinschmidt O, Brox T, Cremers D. Nonlocal texture filtering with efficient tree structures and invariant patch similarity measures [C]//Proceedings of International Workshop on Local and Non-Local Approximation in Image Processing. Lausanne, Switzerland: IEEE SP/CAS Chapter in Finland, 2008: 103-113.
[8]
Zimmer S, Didas S, Weickert J. A rotationally invariant block matching strategy improving image denoising with non-local means [C] //Proceedings of International Workshop on Local and Non-Local Approximation in Image Processing. Lausanne, Switzerland: IEEE SP/CAS Chapter in Finland, 2008: 135-142.
[9]
Grewenig S, Zimmer S, Weickert J. Rotationally invariant similarity measures for nonlocal image denoising [J]. Journal of Visual Communication and Image Representation, 2011, 22(2): 117-130.
[10]
Manjón J V, Carbonell-Caballero J, Lull J J, et al. MRI denoising using non local means [J]. Medical Image Analysis, 2008, 12(4): 514-523.
[11]
Stein C. Estimation of the mean of a multivariate normal distribution [J]. The annals of Statistics, 1981, 9(6): 1135-1151.
[12]
Van De Ville D, Kocher M. SURE-based non-local means [J]. IEEE Signal Processing Letters, 2009, 16(11): 973-976.
[13]
Ramani S, Blu T, Unser M. Monte-carlo SURE: a black-box optimization of regularization parameters for general denoising algorithms [J]. IEEE Transactions on Image Processing, 2008, 17(9): 1540-1554.
[14]
Salmon J. On two parameters for denoising with non-local means [J]. IEEE Signal Processing Letters, 2010, 17(3): 269-272.
[15]
Kang B, Choi O, Kim J D, et al. Noise reduction in magnetic resonance images using adaptive non-local means filtering [J]. Electronics Letters, 2013, 49(5):324-326.
[16]
Zhu X, Milanfar P. A no-reference image content metric and its application to denoising [C] //Proceedings of the 17th IEEE International Conference on Image Processing. Hong Kong, China: IEEE, 2010:1145-1148.
[17]
Zhu X, Milanfar P. Automatic parameter selection for denoising algorithms using a no-reference measure of image content [J]. IEEE Transactions on Image Processing, 2010, 19(12): 3116-3132.
[18]
Dabov K, Foi A, Katkovnik V, et al. Image denoising by sparse 3-D transform-domain collaborative filtering [J]. IEEE Transactions on Image Processing, 2007, 16(8): 2080-2095.
[19]
Takeda H, Farsiu S, Milanfar P. Kernel regression for image processing and reconstruction [J]. IEEE Transactions on Image Processing, 2007, 16(2): 349-366.
[20]
Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.
