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README.md
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# Super Resolution Model Comparison
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🚀 **Super Resolution Model Comparison** is a web application built using **Streamlit** that allows users to upload a low-resolution image and compare its enhancement using various super-resolution models (SRCNN, VDSR, and EDSR). The application provides image quality metrics (PSNR and SSIM) and processing time for each model to assess their performance.
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---
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tags:
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- super-resolution
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- image-enhancement
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- pytorch
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- deep-learning
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datasets:
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- DIV2K
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- Set5
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license: mit
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model-index:
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- name: EDSR
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results:
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- task:
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name: Image Super-Resolution
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type: image-super-resolution
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dataset:
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name: DIV2K
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type: DIV2K
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metrics:
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- name: PSNR
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type: psnr
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value: 30.50
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- name: SSIM
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type: ssim
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value: 0.85
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---
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# Super Resolution Model Comparison
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🚀 **Super Resolution Model Comparison** is a web application built using **Streamlit** that allows users to upload a low-resolution image and compare its enhancement using various super-resolution models (SRCNN, VDSR, and EDSR). The application provides image quality metrics (PSNR and SSIM) and processing time for each model to assess their performance.
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