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A package for BRISQUE metric calculation.

Project description

An implementation of BRISQUE (Blind/Referenceless Image Spatial Quality
Evaluator) in Python from the paper: ["No-Reference Image Quality Assessment
in the Spatial Domain"](

## Installation
The package is in PyPI so you can install it simply by this command:

```pip install --process-dependency-links pybrisque```

## Usage
Initialize once:
brisq = BRISQUE()
and get the BRISQUE feature or score many times:

## Limitations
This implementation is heavily adopted from the original Matlab
implementation in [here]( There is one catch though, the bicubic interpolation when resizing image in
Matlab and OpenCV is a bit different as explained in [here]( For now, it uses ```nearest``` interpolation
which gives the most similar output with the original implementation.

Comparing with Matlab original implementation on reference images of TID 2008:


And the absolute differences' stat is as follows:
{'min': 0.17222238726479588,
'max': 16.544924728934404,
'mean': 3.9994322498322754,
'std': 3.0715344507521416}

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