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Author:

Wang, Yi (Wang, Yi.) | Lei, Fei (Lei, Fei.) | Fu, Guang-jie (Fu, Guang-jie.)

Indexed by:

CPCI-S EI Scopus

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.

Keyword:

Wavelet Underwater image Nonlinear threshold function Pool Adaptive denoising

Author Community:

  • [ 1 ] [Wang, Yi]Northeast Petr Univ, Petr Elect & Informat Engn Coll, Daqing 163318, Hei Long Jiang, Peoples R China
  • [ 2 ] [Lei, Fei]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Wang, Yi]Northeast Petr Univ, Petr Elect & Informat Engn Coll, Daqing 163318, Hei Long Jiang, Peoples R China

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Source :

MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3

ISSN: 1660-9336

Year: 2013

Volume: 333-335

Page: 1024-,

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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