Medical ultrasound images are corrupted with speckle noise inherently, which can cause negative effects on image-based interpretation and diagnostic procedure. Speckle reduction is an important step prior to the processing and analysis of the medical ultrasound images. In this study, a new speckle noise reduction algorithm in medical ultrasound images is proposed by employing monogenic wavelet transform (MWT) and Bayesian framework. The monogenic coefficients are modeled as the sum of noise-free
