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The quality of Sonar images are often reduced by the presence of speckle noise. The presence of speckle noise leads to incorrect analysis and has to be handled carefully. In this paper, an improved non-parametric statistical wavelet denoising method is presented. The algorithm uses a stationary wavelet transformation to derive the wavelet coefficients, from which edge and non-edge wavelet coefficients are identified. Further to improve the time complexity, only homogenous regions with respect to coefficients of neighbors are considered. This method uses an ant colony classification technique. A hybrid method that exploits both inter-scale and intra-scale dependencies between wavelet coefficients is also proposed. The experimental results show that the proposed method is efficient in terms of reduction in speckle noise and speed and can be efficiently used by various sonar imaging systems.
J. Alavandan. 1970. "Enhanced Speckle Filters For Sonar Images Using Stationary Wavelets And Hybrid Inter- And Intra Scale Wavelet Coefficient Dependency". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 2).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 147
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: J. Alavandan, Lt. Dr. S. Santhosh Baboo (PhD/Dr. count: 1)
View Count (all-time): 261
Total Views (Real + Logic): 5349
Total Downloads (simulated): 451
Publish Date: 2012 05, Tue
Monthly Totals (Real + Logic):
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