Reduction of Speckle Noise in Images Using Homomorphic Wavelet-Based MMSE Filter with Edge Detection 


Vol. 28,  No. 11, pp. 1098-1110, Nov.  2003


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  Abstract

In this paper, we propose a homomorphic wavelet-based MMSE filter with edge detection to restore images degraded by speckle noise. In the proposed method, a noisy image is first transformed into logarithmic domain. Each pixel in the transformed image is then classified into flat and edge regions by applying DIP operator to the image restored by homomorphic directional MMSE filter, Each pixel in flat region is restored by homomorphic wavelet-based MMSE filter. Each pixel in edge region is restored by the weighted sum of the output of homomorphic wavelet-based MMSE filtering and that of homomorphic directional MMSE filtering. The restored image in spatial domain is finally obtained by applying the exponential function to the restored image in logarithmic domain. Experimental results show that the restored images by the proposed method have ISNR improvement of 3.3 - 4,0 dB and ß, a measurement parameter on edge preservation, improvement of 0.0103 - 0.0126 and superior subjective image quality over those by conventional methods.

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  Cite this article

[IEEE Style]

W. Park, I. Jang, N. Kim, "Reduction of Speckle Noise in Images Using Homomorphic Wavelet-Based MMSE Filter with Edge Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 11, pp. 1098-1110, 2003. DOI: .

[ACM Style]

Won-Yong Park, Ick-Hoon Jang, and Nam-Chul Kim. 2003. Reduction of Speckle Noise in Images Using Homomorphic Wavelet-Based MMSE Filter with Edge Detection. The Journal of Korean Institute of Communications and Information Sciences, 28, 11, (2003), 1098-1110. DOI: .

[KICS Style]

Won-Yong Park, Ick-Hoon Jang, Nam-Chul Kim, "Reduction of Speckle Noise in Images Using Homomorphic Wavelet-Based MMSE Filter with Edge Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 11, pp. 1098-1110, 11. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880