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Author:

Liu, Fang (Liu, Fang.) | Deng, Zhiren (Deng, Zhiren.)

Indexed by:

EI Scopus

Abstract:

An efficient method for the unmanned aerial vehicle (UAV) image denoising is proposed by combining an adaptive wavelet thresholding denoising and the image enhancement method in this paper. This method is aimed at improving the effect of the wavelet thresholding denoising method and enhancing the edge of the image. An adaptive threshold value which changes with the change of the decomposition scale and the direction of the subband is selected for denoising. After wavelet denoising, the image enhancement method is used for enhancing the edge of the image. Experimental results show that, compared with the other methods, the proposed method yields bigger peak signal-to-noise ratio and superior visual image quality - measured by universal image quality index. It also retains more edges and details of the image. © 2013 IEEE.

Keyword:

Image denoising Unmanned aerial vehicles (UAV) Image enhancement Antennas Signal to noise ratio Image quality

Author Community:

  • [ 1 ] [Liu, Fang]College of Electronic Informa T Ion and Control Eng Ineering, Beijing University of Technology, Beijing, 100022, China
  • [ 2 ] [Deng, Zhiren]College of Electronic Informa T Ion and Control Eng Ineering, Beijing University of Technology, Beijing, 100022, China

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Source :

Year: 2013

Page: 213-216

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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