Interval type-2 Fuzzy Sets-based no-reference quality evaluation of synthetic images
نویسندگان
چکیده
No-reference image quality assessment needs no prior knowledge of reference image. A new fuzzy image quality measure (built from interval type-2 fuzzy sets (IFS2)) is compared with experimental psycho-visual data. The proposed measure is based on IFS2 entropy applied on synthetic images. A recently performed psycho-visual experiment provides psycho-visual scores on some synthetic images, and comprehensive testing demonstrates the good consistency between these scores and the quality measures we obtain. The proposed measure has been too compared with full-reference quality measures (or faithfullness measures) like SSIM and gives satisfactory performance.
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