Selecting the Optimal Gaussian Filtering Scale via the SNR of Image

Wang Wen-yuan

doi:10.3724/SP.J.1146.2008.01392

Volume 31 Issue 10

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(10): 2483-2487

Wang Wen-yuan. Selecting the Optimal Gaussian Filtering Scale via the SNR of Image[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2483-2487. doi: 10.3724/SP.J.1146.2008.01392

Citation:

Wang Wen-yuan. Selecting the Optimal Gaussian Filtering Scale via the SNR of Image[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2483-2487. doi: 10.3724/SP.J.1146.2008.01392

Wang Wen-yuan. Selecting the Optimal Gaussian Filtering Scale via the SNR of Image[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2483-2487. doi: 10.3724/SP.J.1146.2008.01392

Citation:

Wang Wen-yuan. Selecting the Optimal Gaussian Filtering Scale via the SNR of Image[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2483-2487. doi: 10.3724/SP.J.1146.2008.01392

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Selecting the Optimal Gaussian Filtering Scale via the SNR of Image

doi: 10.3724/SP.J.1146.2008.01392 cstr: 32379.14.SP.J.1146.2008.01392

Wang Wen-yuan

Received Date: 2008-10-27
Rev Recd Date: 2009-04-21
Publish Date: 2009-10-19

Abstract

Abstract

This paper presents an algorithm to select the optimal Gaussian filtering scale. First, it estimates the SNR of image to evaluate the noise degraded intensity of image. Second, it obtains the optimal Gaussian filtering scales by using optimal criteria on the sample images with varying intensity of noise. Finally, a statistically investigation of the relationship between the optimal Gaussian scales and their corresponding SNR and using the method of data fitting lead to the algorithm of estimating Gaussian filtering scale based on the SNR of image. Applied experiments on the algorithms of Canny edge detection and the nonlinear diffusion filtering demonstrate the efficiency of the proposed algorithm.

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References

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