Image Quality Evaluation Method Based onHuman Visual System
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Graphical Abstract
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Abstract
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: ¯rstly, 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 di®erent 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 e®ects accurately and
objectively.
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