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Blind Image Quality Assessment for Facial Images: The Texture Histogram and NSS Approach
Abstract
We develop an algorithm for blind facial image quality assessment using the texture descriptors of the histogram locally and any of the extracted features in blinds-II in the DCT domain. This paper proposes a quality assessment algorithm based on the extracted features from the important blocks in the distorted facial image, and then these features are used in a simple approach to predict quality scores. Experimental results are shown to correlate highly with human’s judgments of quality.
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References
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