Multiscale structural similarity for image quality assessment

🤖 Plain-English Summary

The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales.

🔑 Key Findings

• This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions.
• We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales.
• Experimental comparisons demonstrate the effectiveness of the proposed method.

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