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.