Parallel computing is used to accelerate the computations in the reduction of speckle noise in medical ultrasound images. A new hybrid algorithm for speckle noise reduction in medical ultrasound images is proposed and compared to an existing efficient method. The method combines in an efficient manner the advantages of several denoising filters using local and non-local information. A comparative study is carried out using quantitative and qualitative measures and showing the competitiveness of the proposed method. Both methods are parallelized using OpenMP, and a hybrid combination of MPI and OpenMP. The parallel implementations are compared to the sequential ones, obtaining significative values of speedup.

并行计算可用于加快医学超声图像中斑点噪声的减少速度。提出了一种新的减少医学超声图像斑点噪声的混合算法，并将其与现有的有效方法进行了比较。该方法有效地结合了使用本地和非本地信息的几个降噪滤波器的优点。使用定量和定性方法进行了比较研究，并显示了所提出方法的竞争力。两种方法都使用OpenMP以及MPI和OpenMP的混合组合并行化。将并行实现与顺序实现进行比较，以获得有意义的加速值。