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Proceedings Paper

Novel image processing method applied to speckle fringe pattern based on the wavelet transform
Author(s): Hong Miao; Kemao Qian; Xiaoping Wu
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Paper Abstract

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.

Paper Details

Date Published: 7 May 1999
PDF: 4 pages
Proc. SPIE 3740, Optical Engineering for Sensing and Nanotechnology (ICOSN '99), (7 May 1999); doi: 10.1117/12.347762
Show Author Affiliations
Hong Miao, Univ. of Science and Technology of China (China)
Kemao Qian, Univ. of Science and Technology of China (Singapore)
Xiaoping Wu, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 3740:
Optical Engineering for Sensing and Nanotechnology (ICOSN '99)
Ichirou Yamaguchi, Editor(s)

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