/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

Primary LanguageC++MIT LicenseMIT

Note

This repository was unarchived on 17th May 2020. Seeing this being used by many, the author has decided to make the necessary changes to make this code ready to be re-used. Please wait for another week (i.e. 24th May 2020) to see the changes in action before filing any issue. Though, if your work is urgent, please feel free to check the revisions made in the module committed to opencv_contrib (link below).

Note: There have been many revisions, specially about the models used. Please check the work by @clunietp (https://github.com/clunietp) and myself on BRISQUE IQA committed to opencv_contrib here: https://github.com/opencv/opencv_contrib/tree/master/modules/quality

Note: This work was originally published on LearnOpenCV. For code: https://github.com/spmallick/learnopencv/tree/master/ImageMetrics

The work was published on https://www.learnopencv.com/. Link: blog post.

Process

Steps to Calculate Image Quality Score using BRISQUE Model

Installation Instructions

Python 2.x LIBSVM Installation sudo apt-get install python-libsvm

Python 3.x LIVSVM Installation and C++ LIBSVM Installation

For C++ :

  1. cd C++/libsvm/
  2. cmake .
  3. make

For Python 3.x :

  1. cd Python/libsvm/
  2. make
  3. cd python
  4. make

Usage

Python 2.x

  1. python2 brisquequality.py <image_path>

Python 3.x

  1. cd Python/libsvm/python/
  2. python3 brisquequality.py <image_path>

C++

  1. cd C++/
  2. ./brisquequality <image_path>

Example

Quality Score Comparison using BRISUQE Model

Quality Score Comparison using BRISQUE Model