Journal of Shanghai Jiaotong University ›› 2013, Vol. 47 ›› Issue (12): 1930-1933.
• Automation Technique, Computer Technology • Previous Articles Next Articles
Received:
2012-12-18
CLC Number:
LIU Shu,WANG Ci. Image Deblocking with Adaptive Non-local Means Filter[J]. Journal of Shanghai Jiaotong University, 2013, 47(12): 1930-1933.
[1]谢强, 郑世宝, 于晓静 . 一种结合H.264/AVC CABAC熵编码器特征的视频选择性内容加密算法[J]. 上海交通大学学报, 2008,42(10): 17621766. XIE Qiang, ZHENG Shibao, YU Xiaojing. A selective video content encryption algorithm exploiting the characteristics of H. 264/AVC CABAC entropy encoder[J]. Journal of Shanghai Jiaotong University, 2008, 42(10): 17621766. [2]李焱淼,张永良,黄亚平,等.基于频域分析的联指图前后背景分离算法[J].上海交通大学学报,44(8):10891093. LI Yanmiao, ZHANG Yongliang, HUANG Yaping, et al. Background removing of slap fingerprint images based on frequency domain analysis[J]. Journal of Shanghai Jiaotong University, 2010, 44(8): 10891093. [3]Jagroop S, Sukhwinder S, Dilbag S, et al. Detection method and filters for blocking effect reduction of highly compressed images[J]. Signal Processing: Image Communication, 2011, 26(8):493506. [4]XING Lili,CHANG Qianshun,QIAO Tiantian.The algorithms about fast nonlocal means based image denoising[J]. Acta Mathematicae Applicatae Sinica, 2012, 28(2): 247254. [5]Sun D, Cham W K. Postprocessing of low bitrate block DCT coded images based on a fields of experts prior[J]. IEEE Trans Image Process, 2007,16(11): 27432751. [6]Averbuch A Z, Schclar A, Donoho D L. Deblocking of block transform compressed images using weighted sums of symmetrically aligned pixels[J]. IEEE Transactions on Image Processing, 2005, 14(2): 200212. [7]Zhang M, Gunturk B K. Multiresolution bilateral filtering for image denoising[J]. IEEE Transactions on Image Processing, 2008, 17(12): 23242333. [8]Nath V K, Hazarika D, Mahanta A. Blocking artifacts reduction using adaptive bilateral filtering[J]. International Conference on Signal Processing and Communications, 2010(2):15. [9]Chatterjee P, Milanfar P. Patchbased nearoptimal image denoising[J]. IEEE Transactions on Image Processing,20122, 21(4): 16351649. [10]Buades A, Coll B, Morel J M. A nonlocal algorithm for image denoising[J]. Computer Vision and Pattern Recognition, 2005(2): 6065. [11]de Queiroz R L. Processing JPEGcompressed images and documents[J]. IEEE Trans Image Processing, 1998, 7: 16611672. [12]Robertson M A, Stevenson R L. DCT quantization noise in compressed images[J]. Int Conf Image Process, 2001(1): 185188. [13]ZHAI Guangtao, ZHANG Wenjun, YANG Xiaokang, et al. Efficient deblocking with coefficient regularization, shapeadaptive filtering, and quantization constraint[J]. IEEE Trans Multimedia, 2008, 10(5): 735745. |
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