https://github.com/krshrimali/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)
https://github.com/krshrimali/no-reference-image-quality-assessment-using-brisque-model

computer-vision cpp image-processing image-quality image-quality-assessment libsvm machine-learning opencv python svm

Last synced: 7 days ago
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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)

• Host: GitHub
• URL: https://github.com/krshrimali/no-reference-image-quality-assessment-using-brisque-model
• Owner: krshrimali
• License: mit
• Created: 2018-09-23T07:35:00.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2021-09-27T06:51:57.000Z (about 3 years ago)
• Last Synced: 2024-10-25T10:53:51.112Z (13 days ago)
• Topics: computer-vision, cpp, image-processing, image-quality, image-quality-assessment, libsvm, machine-learning, opencv, python, svm
• Language: C++
• Size: 1.7 MB
• Stars: 190
• Watchers: 7
• Forks: 35
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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](https://www.learnopencv.com/image-quality-assessment-brisque/). 

## Process

![Steps to Calculate Image Quality Score using BRISQUE Model](https://github.com/krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model/blob/master/Images/Process_BRISQUE_Calculation.png)

## 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 `

**Python 3.x** 

1. `cd Python/libsvm/python/`

2. `python3 brisquequality.py `

**C++**

1. `cd C++/`

2. `./brisquequality `

## Example

**Quality Score Comparison using BRISUQE Model**

![Quality Score Comparison using BRISQUE Model](https://github.com/krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model/blob/master/Images/Table_Comparison_BRISQUE.png)