To monitor the image quality in real-time, a binary spatial dependence model of pixel wavelet coefficients was established, and the model was used to realize the image quality assessment by the no-reference image method. Firstly, the RGB image was mapped into a HSV(Hue, Saturation, Value) space and was processed by wavelet decomposition. A binary space dependent relationship model of wavelet coefficients was established, in which the generalized Gaussian distribution was used to fit the binary joint distribution of wavelet coefficients. Then, the correlation between the binary spatial interdependence relationship and the image quality was analyzed, and the no-reference image quality assesment index was obtained. Finally, the proposed image quality assessment indexes were studied and tested comparatively based on the TID2013, LIVE and CSIQ databases. The results show that the image quality assesment index based on the spatial dependency can be used to classify the image distortion degree accurately, and the classification accuracy rate reaches above 96%. It concludes that proposed no-reference image method based on the spatial dependency achieves accurate image quality classification.