Image Quality Evaluation Method Based on Human Visual System
Baojun Zhao, Chenwei Deng · 2010
MSE, PSNR, SSIM and other traditional objective image assessment metrics simply calculate sta- tistical average results between original images and recon- structed ones, which is incompatible with human visual system. To address this issue, a joint subjective and ob- jective image quality evaluation method is proposed. It has the following features: flrstly, the subjective feelings of re- constructed image are measured quantitatively in wavelet domain; secondly, only noticeable visual distortion is uti- lized in this model; lastly, based on difierent character- istics of spatio-temporal frequency response, eye-sensitive wavelet coe-cients are enhanced, while those non-sensitive ones are inhibited. Experimental results show that the pro- posed model has simple structure and is easy-to-operate; furthermore, it can re∞ect the visual efiects accurately and objectively.