Assessment of image visual quality is of fundamental importance to numerous image and video processing applications.
Visual information fidelity is a novel criterion that is based on modeling of natural scene statistics, image distortion and
the human visual distortion. Traditionally, image QA algorithms interpret image quality as fidelity or similarity with a
"reference" or "perfect" image. We apply the VIF method on image enhancement effect which takes distorted image as
"reference" image instead of "perfect" image to assess the quality of enhanced image. It provides clear advantages over
the traditional approaches because VIF index is combined with HVS features under certain conditions. In particular, it
can be measured only rely on the original image and enhanced image. We validate the performance of our method with
an extensive subjective study to show that it outperforms current methods in our testing.
The difference of illumination between to-be-mosaicked images will cause mosaic artifacts when digital images are
mosaicked. An objective assessment method of digital images mosaic artifacts visibility based on human visual
perception has been studied in this paper. The process of the method are as follows; 1) the gradient errors image is
obtained according to the to-be-mosaicked images, 2) the just noticeable difference (JND) of reference image is
derived by considering the human visual frequency sensitivity, the brightness mask effects and texture mask effects on
visual resolution comprehensively; 3) the mosaic artifacts image which is perceptible visually can be acquired by
subtracting the JND threshold values from the wavelet coefficients of gradient errors image in wavelet domain. The
mosaic artifacts visibility (MAV) of digital image is constructed to use as an objective assessment index of image
stitching seam visibility by considering the average value and information entropy of the mosaic artifacts image
comprehensively. The experiment indicates that the objective assessment results of digital image mosaic artifacts
visibility by MAV index are consistent with those of the subjective perceptual method basically.
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