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)
This tool helps photographers, graphic designers, or anyone working with visual media quickly assess the perceptual quality of an image without needing a 'perfect' reference version. You input a single image, and it outputs a numerical score indicating its quality, helping you decide if it's suitable for use or if adjustments are needed. It's designed for anyone who needs to quickly evaluate image quality for display, print, or analysis.
210 stars. No commits in the last 6 months.
Use this if you need to objectively score the perceived quality of an image to determine its suitability for a particular use case without having an ideal reference image to compare against.
Not ideal if you need a detailed breakdown of specific image flaws or if you have a perfect reference image for side-by-side comparison.
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210
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37
Language
C++
License
MIT
Category
Last pushed
Sep 27, 2021
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