The present invention discloses a quality estimation method of a parametric image based on nonlinear structural similarity deviation. Firstly the RGB color image spaces of a reference image and a degraded image are converted into a Gauss image space and a grayscale image space, then a local edge intensity spectrum and a local gradient spectrum are generated and are subjected to nonlinear normalization, the corresponding local edge similarity map and the corresponding local gradient similarity map are calculated, and finally through analyzing the structural characteristic of the local similarity map, a value with a small similarity deviation is adaptively selected to be the quality estimation value of the degraded image. According to the method, the quality estimation effect of different fuzzy, JPEG, noise and other natural images is good, the calculation is convenient and efficient, and the realizability is good.