Ultrasound (US) image quality is degraded due to many artifacts, speckle noise is the major one due to the
coherent nature of sound wave. Many spatial and compounding image enhancement techniques are proposed.
professional sonographers carefully use the image enhancement due to the loses of diagnostic details. Compound
enhancement is proposed to enhance the image quality keeping enough texture details for diagnosis [1]. Many
compounding methods are proposed frequency compounding, spatial compounding and motion compounding also.
This paper uses the motion compounding to despeckle the ultrasound images. The speckle pattern will be
decorrelated due to slightly moving the US probe or the organ being imaged. Direct image compounding of the US
images will deform the tissue and blur the image. therefore, motion estimation and compensation must be take place
before compounding.
Optimized adaptive Rood Pattern search (O-ARPS) is proposed based on the original ARPS [2], ARPS is
commonly used in video compression. O-ARPS Optimized for the ultrasound images and multicore processing
platform.
Experimental in vivo frames show that the speckle noise is significantly reduced without degrade the organs
boundary, also better image perception achieved due to keeping a few texture details with Timing Performance
close to be real time.