“…Speckle noise filtering of medical ultrasound images (denoising) is important, providing clinicians with enhanced diagnostic ability [6]. More than one from the most recent and modern Researches assured that the best way for ultrasound image denoising is denoising in Curvelet transform domain due to the ability of Curvelet Transform to recover signals in different directions as compared with other methods [4], [5], [6], [7], [8], [9], [10], [11], [12], [13]. The first mention of Curvelet transform was by E. J. Candµes and D. L. Donoho in 1999 [16].…”