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Speckle noise is a granular disturbance, which is an inherent property in echocardiographic images. One of the most powerful and efficient tools for despeckling of images is wavelet transform. A literature survey conducted reveals many wavelet-based thresholding techniques are developed based on universal or level adaptive methods. To find the optimum threshold is a key point in speckle reduction. This paper shows the comparison of different thresholding techniques with proposed adaptive thresholding technique in terms of peak signal to noise ratio (PSNR), structural similarity measure index (SSIM), image quality index (IQI) and edge preservation index (EPI). The qualitative evaluation is done by using residuals. The processing time is also measured for different algorithms. The obtained results indicate that the proposed thresholding technique gives better performance in most of performance measurement parameters.

Adaptive Thresholding Method for Speckle Reduction of Echocardiographic Images