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Author:

Lei Fei (Lei Fei.) | Wang Yingying (Wang Yingying.)

Indexed by:

CPCI-S

Abstract:

For the problem of underwater image de-noising, a new method based on adaptive wavelet combining adaptive threshold selection with adaptive output of the threshold function is proposed. Considering the underwater image with low SNR, contrast imbalance, and poor image quality, first some pre-processing should be done before wavelet threshold de-nosing. Then, we adopt adaptive wavelet combining adaptive threshold selection with adaptive output of the threshold function for the image de-noising. Finally the simulation results show that the proposed method not only removes noise effectively, improves image output peak signal-to-noise ratio (PSNR), but also yields superior vision quality and embodies the superiority of wavelet de-noising.

Keyword:

Peak Signal to Noise Ratio (PSNR) Image De-noising Threshold Underwater Image Adaptive Wavelet

Author Community:

  • [ 1 ] [Lei Fei]Beijing Univ Technol, Acad Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 2 ] [Wang Yingying]Beijing Univ Technol, Acad Elect Informat & Control Engn, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Lei Fei]Beijing Univ Technol, Acad Elect Informat & Control Engn, Beijing 100022, Peoples R China

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Source :

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC)

ISSN: 1948-9439

Year: 2014

Page: 2521-2525

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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