No Reference Image Quality Assessment Using BRISQUE Model Save

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)

Project README

Note

Please see https://github.com/krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model/issues/4 if you are looking to contribute. :)

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

Open Source Agenda is not affiliated with "No Reference Image Quality Assessment Using BRISQUE Model" Project. README Source: krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model

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