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A Universal Image Quality Index

A Universal Image Quality Index

A Universal Image Quality Index


We propose a new universal objective image quality index, which is easy to calculate and applicable to various image processing applications. Instead of using traditional error sum-
mation methods, the proposed index is designed by modeling any image distortion as a combination of three factors: loss of correlation, luminance distortion, and contrast distortion. Although the new index is mathematically defined and no human visual system model is explicitly employed, our experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean implementation of the algorithm.Image signals are generally nonstationary while image quality is often also space variant, although in practice it is usually desired to evaluate an entire image using a single overall quality value. Therefore, it is more appropriate to measure
statistical features locally and then combine them together.


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