Real Time Motion Estimation Algorithm for Temporal Denoising

This thesis introduces a low-complexity, but efficient, motion estimation algorithm, that could be implemented in FPGA, in a professional digital camera to apply it on-the-fly while recording a video-sequence.The main aim of the proposed algorithm it to improve the performance of an already existing denoising algorithm. To meet the real-time constraint, the prediction accuracy is traded for a reduced number of operations that is reflected in a faster computational time.