Novel image blur assessment based on relative comparison
Gang Liu, Fang Yang & Yuan Zhang
Xidian University, Xi’an, Shaanxi, China
ABSTRACT: Based on the research on HVS, we find a novel perspective to assess image blur: Relative comparison. Recently, we proposed two methods from the angle of relative comparison by taking HVS into account. They first construct a new image with filter as the reference image and then compute the change of a statistics constructed by ourselves between the original image and the reference image. The two methods have been testified by sets of experiment to fulfill the performance requirements and have the advantage of simplicity and efficiency. In contrast to existing popular traditional metrics, our method shows ...
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