In the present paper we have focused our efforts in de-noising/despeckling methods for ultrasound images based on a novel multi -transducer architecture. Frequency compounding schemes have been implemented and tested in two different images and the results are compared with the state of the art software based methods for ultrasound image despeckling. Signal -to -noise ratio, SNR, peak -signal -tonoise ratio, PSNR, mean square error, MSE, and the mutual information measures were used to assess the performance of each method. Furthermore, a general scheme for ultrasound image processing based on the notion of superesolution technique that combines multiple low resolution, LR, images of the same scene to produce one high resolution, HR, image, used in camera technology, is proposed. The nature of the system's architecture has made possible the use of simple but effective compounding techniques for speckle reduction while at the same time superesolution approach may produce ultrasound images of better quality and higher resolution. Last but not least, the article provides an insight to the major problems and drawbacks of ultrasound imaging systems and how the proposed architecture is capable of effectively dealing with these problems.