Design principle of no reference image quality evaluation

The no reference image quality evaluation is an important method in image processing technologies when the original image can not be obtained. In this paper, the basic problems in noreference image quality evaluation methods are discussed and several methods based on block effects, image blurs and interactive neural evolution used in noreference image quality evaluation are explained and analyzed. An overall noreference image quality evaluation principle is presented in accordance with the shortnesses above mentioned, and it suggests that the evaluation principle should be a synthetical index applying fuzzy measures and fuzzy integrals, incorporating Human Vision System(HVS) characteristics and adhering to the philosophy of quantifying quality by blind distortion measurements.