Real-time parallel spatial video denoising schemes on multi-core processors

Noises in videos can occur during recording and transmission. The advancement of the processor technology makes real time video denoising possible on multicore processors. In this paper, we investigate parallel techniques for denoising the real-time video on a multi-core processor. We compare two strategies: a block strategy, which assigns a group of threads to each block of video frames and a distributor strategy, which uses one thread to distribute the frame data to each thread. From our experiments with the total variation based image denoising technique, we found that by using the distributor strategy, we can achieve speedup which is 1.28 times faster than the block strategy and the video frame rate can be increased by 18.44%.