Speckle Noise Reduction Using Fourth Order Complex Diffusion Based Homomorphic Filter

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 177)

Abstract

Filtering out speckle noise is essential in many imaging applications. Speckle noise creates a grainy appearance that leads to the masking of diagnostically significant image features and consequent reduction in the accuracy of segmentation and pattern recognition algorithms. For low contrast images, speckle noise is multiplicative in nature. The approach suggested in this paper makes use of fourth order complex diffusion technique to perform homomorphic filtering for speckle noise reduction. Both quantitative and qualitative evaluation is carried out for different noise variances and found that the proposed approach out performs the existing methods in terms of root means square error (RMSE) value and peak signal to noise ratio (PSNR).

Keywords

Root Mean Square Error Synthetic Aperture Radar Multiplicative Noise Speckle Noise Speckled Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNational Institute of Technology CalicutCalicutIndia

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