# multi-score-SIQA **Repository Path**: code-tang/multi-score-siqa ## Basic Information - **Project Name**: multi-score-SIQA - **Description**: 增加训练后模型 - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-03-16 - **Last Updated**: 2024-03-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 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. ![image](https://github.com/o-messai/multi-score-SIQA/blob/main/results/online.png?raw=true) ## 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}}