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Author:

Lei, Fei (Lei, Fei.) | Gong, Junle (Gong, Junle.)

Indexed by:

EI Scopus

Abstract:

A method operating at an outdoor swimming pool is presented in this paper. In a swimming pool, one key problem we faced is that the SNR (signal to noise ratio) will be lower than general surroundings such as bubbles, shadow, water waves, and lower contrast. In order to eliminate noise and preserve the edge and texture detail in the image that we obtained, we select the wavelet denoising algorithm. Because the contrast is lower and the wavelet transform will make the image fuzzy, firstly, we use the canny edge detection operator to detect the feature of the image. generally, water waves are in the special location for the swimming pool, we ignore the water waves edge information. Secondly, we use wavelet transform to process the processed edge image and the original image, then we add these wavelet coefficients at the corresponding level, we will reserve the first level wavelet transform coefficients. Finally, we can use the Donoho hard threshold denoise technology to eliminate the noise. For our actual situation, our algorithm makes some improvement in two aspects. The experiment shows that image denoise perform better than that using traditional method. ©2010 IEEE.

Keyword:

Multimedia systems Wavelet transforms Image denoising Alarm systems Lakes Swimming pools Textures Signal to noise ratio Image compression Edge detection Water waves

Author Community:

  • [ 1 ] [Lei, Fei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Gong, Junle]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

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Year: 2010

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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