1. A method for image quality assessment, comprising: accessing ( 401 ) an image; identifying ( 403 ) features of said image wherein said features are marginal distribution features selected from the group consisting of negative log histogram of magnitude, negative log histogram of real, negative log histogram of phase, MLE (maximal likelihood estimation) estimates of GGD (generalized Gaussian distribution) parameter/likelihood of real and MLE estimates of WBD (Weibull distribution) parameter/likelihood of magnitude; assessing ( 405 ) said features and generating subjective scores for respective said features based upon a mapping of said features to said subjective scores; based on said subjective scores, generating ( 407 ) an image quality score; and providing access ( 409 ) to said image quality score.