• Opto-Electronic Engineering
  • Vol. 37, Issue 1, 136 (2010)
LIANG Yi-tao*, HE Lian-lian, and CHANG Hua
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2010.01.25 Cite this Article
    LIANG Yi-tao, HE Lian-lian, CHANG Hua. Effect Evaluation of De-noising for Fundus Images Based on Ridgelet Transform[J]. Opto-Electronic Engineering, 2010, 37(1): 136 Copy Citation Text show less
    References

    [1] Alan D Fleming,Sam Pbilip,Keith A Goatman,et al. Automated Assessment of Diabetic Retinal Image Quality Based on Clarity and Field Definition [J]. Investigative Ophthalmology & Visual Science(S0146-0404),2006,47:1120-1125.

    [2] ZHANG Yu-jin. Image Engineering [M]. Beijing:Tsinghua University Press,2006.

    [3] HAN Dian-yuan. Study of Algorithms Improvement for Simple Neighborhood Averaging in Image DE-noising [J]. Journal of Weifang University,2006,6(6):12-14.

    [4] JIAO Li-cheng,HOU Biao,WANG Shuang,et al. Image Multiscale Geometric Analysis:Theory and Applications [M]. Xi’an:Xi'an University of Electronic Science and Technology Press,2008.

    [5] DONG Hong-yan,YANG Wei-ping,SHEN Zhen-kang. Adaptive Image Denoising Algorithm Based on Contourlet Transform [J]. Infrared Technology(S1001-8891),2006,28(9):552-556.

    [6] Paul J Curran,Jennifer L Dungan. Estimation of Signal-to-Noise:A New Procedure Applied to AVIRIS Data [J]. IEEE Trans Geosci Remote Sensing(S0196-2892),1989,27(5):620-628.

    [7] Freek D,Van Der Meer,Steven M Dejong. Imaging Spectrometry:Based Principles and Prospective Applications [M]. Netherlands:Kluwer Academic Publishers,2001.

    [8] GAO Bo-cai. An Operational Method for Estimating Signal to Noise Ratios from Data Acquired with Imaging Spectrometers [J]. Remote Sensing of Environment(S0034-4257),1993,43(1):23-33.

    [9] GAO Lian-ru,ZHANG Bing,ZHANG Xia,et al. Study on the Method for Estimating the Noise in Remote Sensing Images Based on Local Standard Deviations [J]. Journal of Remote Sensing,2007,11(2):201-208.

    LIANG Yi-tao, HE Lian-lian, CHANG Hua. Effect Evaluation of De-noising for Fundus Images Based on Ridgelet Transform[J]. Opto-Electronic Engineering, 2010, 37(1): 136
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