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Utilizing image scales towards totally training free blind image quality assessment

Ashirbani Saha, Qing Ming Jonathan Wu

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |March 17, 2015
    PubMed
    Summary

    A novel blind image quality assessment method analyzes image distortions by comparing an image at different scales to its original resolution. This training-free approach effectively predicts perceptual quality by measuring global changes across scales.

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