Wavelet denoising by MSFI and NSFI

被引：0
|
作者：
Lin, EB [1 ]
机构：
[1] Univ Toledo, Dept Math, Toledo, OH 43606 USA
来源：
WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING VIII PTS 1 AND 2 | 2000年 / 4119卷
关键词：
wavelet denoising; multi-scaling function interpolation; nonseparable scaling function interpolation;
D O I：
10.1117/12.408676
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Image denoising in wavelet transform domain using thresholding is one of the most effective techniques of image enhancement. Even though the thresholding on the wavelet transform domain generally works well, one can still visually note the remaining noise in the resulting image, especially in the non-edge areas. In this paper, we use Multi-scaling Function Interpolation and Nonseparable Scaling Function Interpolation to smooth the noise image. Several simulation results will be presented and comparisons between MSFI and NSFI methods will be shown.
引用
收藏
页码：861 / 869
页数：9
相关论文
共 50 条
  • [41] Wavelet median denoising of ultrasound images
    Macey, KE
    Page, WH
    MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 2002, 4684 : 1151 - 1160
  • [42] Denoising of thermogravimetry signal by wavelet transform
    Metallurgical and Ecological Engineering School, University of Science and Technology Beijing, Beijing 100083, China
    不详
    Beijing Keji Daxue Xuebao, 2007, 5 (532-536):
  • [43] Signal waveform restoration by wavelet denoising
    Wu, SQ
    Ching, PC
    PROCEEDINGS OF THE IEEE-SP INTERNATIONAL SYMPOSIUM ON TIME-FREQUENCY AND TIME-SCALE ANALYSIS, 1996, : 89 - 92
  • [44] A new wavelet estimator for image denoising
    Pesquet, JC
    Leporini, D
    SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ITS APPLICATIONS, VOL 1, 1997, (443): : 249 - 253
  • [45] Robust image wavelet shrinkage for denoising
    Lau, DL
    Arce, GR
    Gallagher, NC
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL I, 1996, : 371 - 374
  • [46] Optimal Wavelet Selection for Signal Denoising
    Sahoo, Gyana Ranjan
    Freed, Jack H.
    Srivastava, Madhur
    IEEE ACCESS, 2024, 12 : 45369 - 45380
  • [47] Maximal entropy principle wavelet denoising
    Gao, JB
    Yang, H
    Hu, XY
    Hu, DC
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2001, 21 (05) : 620 - 622
  • [48] Wavelet denoising applied to vortex flowmeters
    Tao, Z
    Sun, HJ
    Peng, W
    FLOW MEASUREMENT AND INSTRUMENTATION, 2004, 15 (5-6) : 325 - 329
  • [49] On time-dependent wavelet denoising
    Vidakovic, B
    Lozoya, CB
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (09) : 2549 - 2554
  • [50] Wavelet denoising via sparse representation
    Robert J. SCLABASSI
    Science China(Information Sciences), 2009, (08) : 1371 - 1377
12345