1. A method for providing a composite objective image quality metric of a set of a plurality of random video features, said method comprising the steps of: (a) receiving a video sequence for image quality evaluation; (b) providing an objective metric image quality controller comprising a random set of metrics ranging from M 1 to M n without cross correlation information for; (c) applying said each one metric of said set of metrics individually to said video sequence so that said each one metric of said random set of metrics provides an individual objective scoring value of said video sequence ranging from x 1 to x n ; (d) determining a plurality of sets of weights (w 1 to w n ) which correlate to predetermined subjective evaluations of image quality for a predetermined plurality of video sequences (n), each one set of weights of said plurality of sets of weights being assigned a range having an incremental value equal to said range divided by a number of combinations for said each one set of weights; (e) weighting by said each one set of weights each individual objective scoring value x 1 to x n provided by said each one metric of said random set of metrics in step (c); (f) adding the weighted individual objective scoring values of said random set of metrics into a single objective evaluation F, wherein each weighted individual scoring value from step (e) is multiplied by each individual objective scoring value x 1 to x n from step (c); (g) calculating a correlation factor R to provide a correlation value for the objective evaluation F and the plurality of video sequences (n); (h) repeating steps (e), (f) and (g) for each set of weights provided in step (d) to determine a plurality of correlation factors R; (i) ranking said plurality of correlation factors R, wherein a particular correlation factor of said plurality of correlation factors having a particular correlation value closest to 1 represents a best ranking of the respective combined metrics in step (e) for each set of weights; and (j) providing image quality information to at least one of a system optimizer and the video processing module as to the best ranking of the respective combined metrics obtained in step (i) to provide a best perceptual image quality.