A unified environment to assess image quality in video processing
A new unified environment to analyze hardware implementations of video processing( and noise reduction algorithms is proposed and analyzed. Based on an automatic word-length determination tool, it evaluates the implementation costs required to reach a given quality target by performing several tests with noisy images at different noise levels. The unified environment uses a universal image quality index to compute the effect of finite precision on image quality. Also, this unified environment has the capacity to distribute the analysis task over a computer network in order to reduce the required processing latency. This unified environment helps to determine which algorithm requires the lowest implementation cost. Furthermore, the unified environment is useful to explore multiple hardware architectures that can be used to implement a given noise reduction algorithm.
automatic word-length determination optimization image processing