Adaptive Denoising Algorithms Based on Wavelet for Pool Underwater Image

Yi Wang; Fei Lei; Guang Jie Fu

doi:10.4028/www.scientific.net/AMM.333-335.1024

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Adaptive Denoising Algorithms Based on Wavelet for...

Adaptive Denoising Algorithms Based on Wavelet for Pool Underwater Image

Abstract:

Image denoising is an important step in image processing of pools intelligent life-saving system, adaptive denoising algorithms has based on wavelet in this paper. Firstly, the threshold value selection was discussed and then the effect of threshold functions on denoising result was evaluated. Finally, an improved adaptive nonlinear threshold function was put forward. Simulation results showing that the adaptive denoising algorithm designed in this paper can achieve higher PSNR value, and time cost can be satisfy the real-time demand of pool intelligent life-saving system simultaneously.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1024-1029

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1024

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Online since:

July 2013

Authors:

Yi Wang*, Fei Lei, Guang Jie Fu

Keywords:

Adaptive Denoising, Nonlinear Threshold Function, Pool, Underwater Image, Wavelet

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* - Corresponding Author

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