Abstract: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.