To study the method for automatic evaluation of image quality taken by cameras, and to propose no-reference color image quality assessment method based on HVS targeting at the features of the possible distortion types. Color constancy and human visual masking effect were used to calculate the degree of color shift and blur, respectively, and to test the images taken by cameras. With the images taken by the cannon EOS700D camera, the possible distortions were tested in combinations, and comparison was made with the mainstream algorithms for assessing blurred images such as G-SSIM, GSIM and color cast evaluation method. The results showed that the calculated value of the comprehensive assessment index was inversely proportional to the assessment value of the image quality given by the observers. As the index of the image quality assessment grew, the quality of the image was declining. The no-reference color natural image quality assessment method was suitable for no-reference color image quality assessment of photos taken by cameras, and can be developed and integrated to the auxiliary function of camera.