No-Reference Image Quality Assessment using BRISQUE Model
What it is
This repository provides an implementation of the BRISQUE (Basic Reference-free Image Spatial quality eXponent) model for no-reference image quality assessment. It offers scripts in both Python and C++ that calculate a quality score for a given image using OpenCV and LIBSVM.
The problem it solves
Lack of a simple, open-source implementation for calculating no-reference image quality scores using the BRISQUE model in Python and C++.
What you could use it for
- Evaluating the quality of compressed or distorted images without a reference
- Automating image quality checks in computer vision pipelines
- Comparing the performance of different image processing algorithms
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.