The difficulty for no-reference image quality assessment is the lack of the information of the reference image. With the
analysis of the mathematical model of the photoelectric imaging system and the reason for image blur, a method is
proposed for constructing reference images, and at the same time the Structural Similarity index is introduced into noreference
image quality assessment. A novel no-reference image quality assessment index called No-Reference
Structural Sharpness is then proposed for quality evaluation of blurred images. This method constructs a reference image
by a low-pass filter, and assesses the image quality by computing the structural similarity index between the original
image and the reference one, thus considering the mathematical model of imaging system as well as the advantages of
Structural Similarity index. The experimental results show that the new index is well in accordance with quality
assessment results of both subjective evaluation and full-reference methods.
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