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What's the Difference Between UQI and SSIM Measures for Image Similarity / Quality?

What's the Difference Between UQI and SSIM Measures for Image Similarity / Quality?
  1. What is UQI in image processing?
  2. What is SSIM in image?
  3. Why is SSIM better than MSE?
  4. What is SSIM value?

What is UQI in image processing?

[2] introduced universal image quality index (UQI). UQI evaluates quality of an image using loss of correlation, luminance distortion, and contrast distortion. Further extension of UQI, structural similarity (SSIM), was proposed by Wang et al.

What is SSIM in image?

The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, as well as other kinds of digital images and videos. SSIM is used for measuring the similarity between two images.

Why is SSIM better than MSE?

MSE will calculate the mean square error between each pixels for the two images we are comparing. Whereas SSIM will do the opposite and look for similarities within pixels; i.e. if the pixels in the two images line up and or have similar pixel density values.

What is SSIM value?

On the other hand, Structural SIMilarity (SSIM) index is a method for measuring the similarity between two images. The SSIM values ranges between 0 to 1, 1 means perfect match the reconstruct image with original one. Generally SSIM values 0.97, 0.98, 0.99 for good quallty recontruction techniques.

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