Laser Active Image De-Noising Algorithm Based on Lifting-Wavelet

Zheng Jie Qiang; He Xin Zhang

doi:10.4028/www.scientific.net/AMR.1044-1045.1194

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Laser Active Image De-Noising Algorithm Based on...

Laser Active Image De-Noising Algorithm Based on Lifting-Wavelet

Abstract:

According to the characteristics of laser active imaging and the real-time image features needed, a new image de-noising algorithm based on the voting median filter and integer lifting-wavelet transform was proposed. Firstly, the noise image was dealt with voting median filter to eliminate the interference of impulse noise. Secondly, the noise image was decomposed with lifting-wavelet, wavelet coefficients was processed with Bayes adaptive threshold method. Finally got de-noised image by inverse transform. Through compared with the standard median filter, lifting-wavelet transform, the ordinary wavelet combined with the median filter, experimental results show that this method has advanced de-noising performance and edge retention. Meanwhile it has the less computation time.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1194-1200

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1194

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Online since:

October 2014

Authors:

Zheng Jie Qiang*, He Xin Zhang

Keywords:

Image De-Noising, Laser Active Imaging, Lifting-Wavelet Transform, Real-Time, Voting Median Filter

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