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Author:

Zhang, Wenli (Zhang, Wenli.) | Chen, Weibo (Chen, Weibo.) | Wang, Zhuozheng (Wang, Zhuozheng.) | Li, Honglu (Li, Honglu.)

Indexed by:

EI Scopus

Abstract:

In this paper, we proposed an improved fog-removing method in order to make the images becoming more clearly and more easy to recognition. The proposed method combines the Retinex algorithm and wavelet transform algorithm. The proposed method firstly use Retinex algorithm to enhance the image, then the wavelet transform algorithm is used to enhance the details of the image, finally a clearly image which are removed fog can be obtained after reduce the none-important coefficients. Through analyzing the PSNR (Peak Signal-to-Noise Ratio) of the image contrast, the images which are processed by our proposed method have the PSNR values higher than the traditional Retinex algorithm's. © 2014 IEEE.

Keyword:

Signal to noise ratio Fog Wavelet transforms Image enhancement

Author Community:

  • [ 1 ] [Zhang, Wenli]Pilot College of Beijing, Beijing University of Technology, Beijing, China
  • [ 2 ] [Chen, Weibo]Pilot College of Beijing, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang, Zhuozheng]Pilot College of Beijing, Beijing University of Technology, Beijing, China
  • [ 4 ] [Li, Honglu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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Source :

Year: 2014

Issue: October

Volume: 2015-January

Page: 938-941

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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