Removal of Gaussian Noise in Despeckling Medical Ultrasound Images
نویسندگان
چکیده
Medical ultrasound images are widely used for diagnostic purposes. A major problem regarding these images is in their inherent corruption by speckle noise. The presence of speckle noise severely hampers the interpretation and analysis of medical ultrasound images. The objective of the paper is to propose a method for removal of noise in the medical ultrasound images. The image noise content is assumed to be the mixture of speckle and Gaussian noise. Two alternative algorithms are proposed for reducing the mixed noise in medical ultrasound images. While speckle noise removal is done by method based on wavelet transform (WT), Laplacian pyramid transform (LP) or contourlet transform (CT), the Gaussian noise component is reduced by Gaussian filter either in the preprocessing or postprocessing stage. The two proposed alternative methods are evaluated in terms of filter assessment parameters namely Peak Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR), Mean Square Error (MSE), Variance and Correlation Coefficient (CC). The experimental results show that Gaussian filter in preprocessing stage is found to be effective in despeckling based on Laplacian pyramid transform and contourlet transform. However, the Gaussian filter in post-processing stage is found to be effective in despeckling based on wavelet transform. KeywordsDespeckling, Gaussian noise, Medical ultrasound image, Speckle noise. P.S. Hiremath, Prema T. Akkasaligar , Sharan Badiger, The International Journal of Computer Science & Applications (TIJCSA) ISSN – 2278-1080, Vol. 1 No. 5 July 2012 © 2012, http://www.journalofcomputerscience.com TIJCSA All Rights Reserved 26
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