In this paper, a novel image processing method, the Wavelet Transform based Non-liner Filtering Method applied to speckle fringe pattern (WTNFM), is presented. When traditional image processing methods, such as median filter, mean value filter or FFT (Fast Fourier Transform), are employed to reduce the speckle noise of an image pattern, some useful information will be lost while the noise being removed. For example, the board of the object in the pattern would become blur. The WTNFM, on the other hand, can reduce the loss of information when the speckle noise is removed from the fringe pattern because it can apply different filtering method to the different area of the fringe pattern. It can keep the board of the object in the fringe pattern clear after filtering speckle noise. The principle of the wavelet transform is introduced first, and then a practical algorithm to reduce the speckle noise of a fringe pattern is given. At last part of this paper, a computer simulation result processed by this method is given.


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    Title :

    Novel image processing method applied to speckle fringe pattern based on the wavelet transform


    Contributors:
    Miao, Hong (author) / Qian, Kemao (author) / Wu, Xiaoping (author)

    Conference:

    Optical Engineering for Sensing and Nanotechnology (ICOSN '99) ; 1999 ; Yokohama,Japan


    Published in:

    Publication date :

    1999-05-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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