The noise of laser images is complex, which includes additive noise and multiplicative noise. Considering the features of laser images, the basic processing capacity and defects of the common algorithm, this paper introduces the fractal theory into the research of laser image denoising. The research of laser image denoising is implemented mainly through the analysis of the singularity exponent of each pixel in fractal space and the feature of multi-fractal spectrum. According to the quantitative and qualitative evaluation of the processed image, the laser image processing technique based on fractal theory not only effectively removes the complicated noise of the laser images obtained by range-gated laser active imaging system, but can also maintains the detail information when implementing the image denoising processing. For different laser images, multi-fractal denoising technique can increase SNR of the laser image at least 1~2dB compared with other denoising techniques, which basically meet the needs of the laser image denoising technique.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Laser image denoising technique based on multi-fractal theory


    Beteiligte:
    Du, Lin (Autor:in) / Sun, Huayan (Autor:in) / Tian, Weiqing (Autor:in) / Wang, Shuai (Autor:in)

    Kongress:

    Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013 ; 2013 ; SuZhou,China


    Erschienen in:

    Erscheinungsdatum :

    2014-02-21





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Laser image denoising technique based on multi-fractal theory [9142-92]

    Du, L. / Sun, H. / Tian, W. et al. | British Library Conference Proceedings | 2014


    Grey Theory Based Evaluation for SAR Image Denoising

    Ma, Miao / Zhang, Yan-Ning / Tian, Hong-Peng | IEEE | 2008



    Support vector regression based image denoising

    Li, D. | British Library Online Contents | 2009


    A new wavelet-based fuzzy single and multi-channel image denoising

    Saeedi, J. / Moradi, M. H. / Faez, K. | British Library Online Contents | 2010