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Intravascular Ultrasound (IVUS) images are usually corrupted by different types of noises in the process of receiving, coding and transmission. Speckle noise is an inherent property of such images; it causes considerable degradation in the image quality, and thereby reducing the diagnostic value of this wide medical imaging procedure. Accordingly, the speckle denoising is considered to be an important...
A new system of multiscale transform, namely, the curvelets, was developed recently, which possess directional features and provides optimally sparse representation of objects with edges. In this paper a novice algorithm for image denoising based on lossy compression and curvelet thresholding(LCCT) is proposed. The results are compared with the results obtained from denoising methods like Wavelets(WDT),...
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