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No-Reference Image Quality Assessment through SIFT Intensity |
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PP: 1925-1934 |
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Author(s) |
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Tongfeng Sun,
Shifei Ding,
Xinzheng Xu,
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Abstract |
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SIFT (Scale Invariant Feature Transform) points are scale-space extreme points, representing local minutiae structure
features in the Gaussian scale space. SIFT intensity, as a novel no-reference metric, is feasible to assess various common distortions
without the access to reference images. The metric introduces image preprocessing: neighborhood enhancement through contrast
enhancement of adjacent pixels to reduce false SIFT points triggered by random signals; double-size image magnification through
linear interpolation to amplify distortion effects to improve its sensitivity to image quality. SIFT intensity is defined as the number of
SIFT points in a unit region and is calculated based on the first octave of the difference-of-Gaussian scale space. Experimental results
demonstrate that SIFT intensity is superior to existing classic no-reference metrics and can be used to assess different distortions. |
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