Parallelizing Image Processing for Higher Efficiency

This paper focuses on using parallelization techniques for image processing, particularly focusing on Median Filtering. Parallelization is different from simple scheduling because unlike working on scheduling which works discretely, here we focus on simultaneous operations based on multi-threaded processors. For doing this we rely on the multiple cores and their ability to divide algorithms such as median filter into different processes which work simultaneously.