Methods and scalable system for optimizing the system random algorithm for image quality

摘要

Optimization of the system and video processing method selects an algorithm for video quality the best obtained for the available computational resources. A video processing module for processing the input video stream is composed of the architecture parameters to ensure the order of cascaded video function, the video processing module is corrected using the value of the available and computational resources to determine the accuracy of the data bit between cascaded function consecutive according to any complexity level associated to, video processing module. The optimizer module includes the optimization of multiple engines to optimize the processing of video streams, having a level of complexity, each associated. The optimizer module selects the optimization engine in accordance with the complexity level is corrected using the value of the available computational resources. Object image quality (OIQ) evaluator module evaluates the image quality of the output of the video stream from the video processing module. OIQ evaluator module, including the object image quality metrics of each having a complexity level associated. OIQ evaluator module selects the metric according to complexity level and the correction factor for the value of the available computational resources.