All image quality metrics you need in one package.
Sewar is a python package for image quality assessment using different metrics. You can check documentation here.
Just as simple as
pip install sewar
a simple example to use UQI ```python
from sewar.full_ref import uqi uqi(img1,img2) 0.9586952304831419 ```
sewar [metric] [GT path] [P path] (any extra parameters)
An example to use SSIM
shell [email protected]:~$ sewar ssim images/ground_truth.tif images/deformed.tif -ws 13 ssim : 0.8947009811410856Available metrics list
mse, rmse, psnr, rmse_sw, uqi, ssim, ergas, scc, rase, sam, msssim, vifp, psnrb
Special thanks to @sachinpuranik99 and @sunwj.
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 "Multiscale structural similarity for image quality assessment." (2003)
 "Quality of high resolution synthesised images: Is there a simple criterion?." (2000)
 "A wavelet transform method to merge Landsat TM and SPOT panchromatic data." (1998)
 "Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition." (2004)
 "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm." (1992)
 "Multispectral and panchromatic data fusion assessment without reference." (2008)
 "Image information and visual quality." (2006)
 "Quality Assessment of Deblocked Images" (2011)