[1]SHAO Zhentian,YUAN Jie.An image deblocking algorithm based on curvelet transformation[J].CAAI Transactions on Intelligent Systems,2012,7(2):102-107.
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An image deblocking algorithm based on curvelet transformation

References:
[1]LUO Y, KWARD R. Removing the blocking artifacts of blockbased DCT compressed images[J]. IEEE Trans on Image and Processing, 2003, 12(7): 838842.
[2]张学全,顾晓东,孙辉先. 基于自适应空域滤波的图像去块效应算法[J]. 计算机工程, 2009, 35(4): 218220.
ZHANG Xuequan, GU Xiaodong, SUN Huixian. Deblock algorithm for compressed image based on adaptive space domain filtering[J]. Computer Engineering, 2009, 35(4): 218220.
[3]李欣,陈帅. 一种有效的空域去块效应算法[J]. 信息技术, 2011, 8: 8693.
?LI Xin, CHEN Shuai. A new adaptive deblocking algorithm on spatial domain[J]. Information Technology, 2011, 8: 8693.
[4]LIEW A W C, YAN H. Blocking artifacts reduction in JPEG compressed images using overcomplete wavelet represented[C]//International Symposium on Intelligent Multimedia. Hong Kong, China, 2001: 129132.
[5]石敏,易清明,刘金梅. 一种有效的块DCT编码图像去块效应算法[J]. 计算机应用, 2007, 27(6): 14601462.
SHI Min, YI Qingming, LIU Jinmei. Effective deblocking algorithm for blockDCT images[J]. Computer Applications, 2007, 27(6): 14601462.
[6]CANDS E J, DONOHO D L. Curveletsa surprisingly effective nonadaptive representation for objects with edges[C]//Curves and Surfaces. Nashville, USA, 2000: 105120.
[7]CANDS E J, GUO F. New multiscale transforms minimum total variation synthesis: application to edgepreserving image reconstruction[J]. Signal Processsing: Special Issue on Image and Video Coding beyond Standards, 2002, 82: 15191543.
[8]CANDS E J, DEMANET L, DONOHO D, et al. Fast discrete curvelet transforms[J]. Multiscale Modeling and Simulation, 2006, 5(3): 861899.
[9]CANDS E J. Harmonic analysis of neural networks[J]. Applied and Computational Harmonic Analysis, 1999, 6(2): 197218.
[10]DONOHO D L, DUNCAN M R. Digital curvelet transform: strategy, implementation, experiments[R]. California, America: Stanford University, 2000.
[11]CANDS E J, DONOHO D L. Ridgelets: the key to higherdimensional intermittency[J]. Philosophical Transactions of the Royal Society of London Series A, 1999, 357: 24952509.
[12]陈学堂,张元,杨坤平,等. 基于第二代曲波变换算法的检测图像增强[J]. 传感器与微系统, 2008, 27(12): 810.
CHEN Xuetang, ZHANG Yuan, YANG Kunping, et al. Testingimage enhancement based on II curvelet algorithm[J]. Transducer and Microsystem Technologies, 2008, 27(12): 810.
[13]LI Y, NING H J, ZHANG Y N, et al. Nonlinear curvelet diffusion for noisy image enhancement[C]//International Conference on Image Processing. Brussels, Belguim, 2011: 22572560.
[14]武治国,王延杰. 一种基于边缘的曲波变换图像融合方法[J]. 光学技术, 2009, 35(5): 682690.
WU Zhiguo, WANG Yanjie. Image fusion algorithm using curvelet transform based on the edge detection[J] .Optical Technique, 2009, 35(5): 682690.
[15]HU X L, LU H M, ZHANG L F, et al. A new type of multifocus image fusion method based on curvelet transforms[C]//Proceedings of the 2010 Inter national Conference on Electrical and Control Engineering. Wuhan, China, 2010: 172175.
[16]DUNCAN D Y P, DO M N. Directional multiscale modeling of images using the contourlet transform[J]. IEEE Transactions on Image Processing, 2006, 15(6): 16101620.
[17]JIANG T, ZHAO X, DING W W,et al. Improved image denoising method based on curvelet transform[C]//2010 IEEE International Conference on Information and Automation. Harbin, China, 2010: 10861090.
[18]CANDS E J, DEMANET L, DONOHO D, et al. CurveLab 2.1.2[EB/OL].[20080815]. http://www.curvelet.org/.
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