Image Quality Evaluation Method Based on Human Visual System*

MSE, PSNR, SSIM and other traditional objective image assessment metrics simply calculate statistical average results between original images and reconstructed ones, which is incompatible with human visual system. To address this issue, a joint subjective and objective image quality evaluation method is proposed. It has the following features: firstly, the subjective feelings of reconstructed image are measured quantitatively in wavelet domain; secondly, only noticeable visual distortion is utilized in this model; lastly, based on different characteristics of spatio-temporal frequency response, eye-sensitive wavelet coefficients are enhanced, while those non-sensitive ones are inhibited. Experimental results show that the proposed model has simple structure and is easy-to-operate; furthermore, it can reflect the visual effects accurately and objectively.