End-to-end deep multi-score model for No-reference stereoscopic image quality assessment

Multi-score-SIQA

This is the implementation code for our paper published at 2022 IEEE International Conference on Image Processing (ICIP 2022):
"End-to-end deep multi-score model for No-reference stereoscopic image quality assessment"
link: https://arxiv.org/abs/2211.01374

Online web-application

You can use our proposed model online at: https://oussama-messai.com/iqa-stereo
The model will run on the browser once it's loaded (on-edge mode), therefore the run-time depends on your machine.
It should work with any image resolution greater than 32 x 32 pixels, and it supports all image formats (e.g., BMP, PNG, JPG, GIF ...etc), please note that the app does not record or save any user's data/images but a feedback is much appreciated.

Requirments

• torch
  
• scipy
  
• numpy
  
• pillow
  

Citation

        @proceeding{messai2022-end-to-end,
        title={End-to-end deep multi-score model for No-reference stereoscopic image quality assessment},
        author={Messai, Oussama and Chetouani, Aladine},
        conference={ICIP2022},
        year={2022},
        publisher={IEEE}}