Abstract: Typical real time image processing applications require a huge amount of processing power, computing ability and large resources to perform the image processing applications. The limitations appear on image processing systems due to the volumetric data of image to be processed. This challenge is more dominant when coming to process the image processing applications parallely. Parallel processing appears to be the only solution to attain higher speed of operation at real time resource constraints. The nature of processing in typical image processing algorithms ranges from large arithmetic operations to fewer one. Although the existing parallel computing systems provide to some extent parallelism for image processing but fails to support image processing operations varying at a large rate. As part of my thesis, this study presents a novel parallel processing approach to image processing applications using simultaneous multithreading by bifurcating the operations of parallelism into three distinct layers.