Curvelet transform based adaptive image deblocking method

被引:2
作者
Jin, Jing [1 ]
Yuan, Jie [1 ]
Shen, Qinghong [1 ]
Yu, Yao [1 ]
Zhou, Yu [1 ]
Wang, Yuanqing [1 ]
机构
[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
WAVELET; KEY;
D O I
10.1016/j.compeleceng.2014.03.010
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Blocking effect caused by coefficient quantification during image compression is an annoying problem. The main effect of quantification is to eliminate high frequency component in the image. Therefore, it will lead to noticeable discontinuous leaps which causes block effect and degrade the image. A deblocking method based on Curvelet transform is proposed in this paper. Based on the fact that the Curvelet coefficients in different scale layers correspond to different block effect of the degraded image, our method adaptively process the coefficients in each layer to recover the degraded images. As proved by the experiments, our method can retain more details and get better recovery results under both subjective and objective criterions than traditional spatial domain and wavelet deblocking methods. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:117 / 129
页数:13
相关论文
共 24 条
  • [1] [Anonymous], 2010, INT C SIGN PROC COMM
  • [2] [Anonymous], 2000, Curves and Surfaces
  • [3] Edge preserved image enhancement using adaptive fusion of images denoised by wavelet and curvelet transform
    Bhutada, G. G.
    Anand, R. S.
    Saxena, S. C.
    [J]. DIGITAL SIGNAL PROCESSING, 2011, 21 (01) : 118 - 130
  • [4] Learning and recognizing human dynamics in video sequences
    Bregler, C
    [J]. 1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1997, : 568 - 574
  • [5] Ridgelets:: a key to higher-dimensional intermittency?
    Candès, EJ
    Donoho, DL
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1999, 357 (1760): : 2495 - 2509
  • [6] Fast discrete curvelet transforms
    Candes, Emmanuel
    Demanet, Laurent
    Donoho, David
    Ying, Lexing
    [J]. MULTISCALE MODELING & SIMULATION, 2006, 5 (03) : 861 - 899
  • [7] Modified curvelet transform with vocabulary tree for content based image retrieval
    Gonde, Anil Balaji
    Maheshwari, R. P.
    Balasubramanian, R.
    [J]. DIGITAL SIGNAL PROCESSING, 2013, 23 (01) : 142 - 150
  • [8] Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach
    Hennenfent, Gilles
    Fenelon, Lloyd
    Herrmann, Felix J.
    [J]. GEOPHYSICS, 2010, 75 (06) : WB203 - WB210
  • [9] Jain A, 2012, COMM COM INF SC, V305, P135
  • [10] Jin Jing, 2010, IEEE 7TH INTERNATION, P1800