This is my implementation of the SSEQ index. I wasn't able to find a fully implemented Python version of this index, so I decided to use Aca4peop's code as a starting point and then add my own modifications.

The full details of SSEQ can be found in the paper: No-reference image quality assessment based on spatial and spectral entropies (Liu et al.). The original MATLAB implementation is here.

Vectorized implementation of:

• Patch spatial entropy
• DCT for spectral entropy (more info here)

Every dataset was split into a training and a test set. I used the training sets with K-fold cross-validation to get the best parameters for each SVR model. The following are the results on each test set: