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Dual-Input Neural Networks for Personalized Image Precompensation

Version 1
Description

This dataset supports the paper "Dual-Input Neural Networks for Personalized Image Precompensation" (J. Imaging, 2025).It includes color images and point spread functions (PSFs) used to train and evaluate deep neural networks that compensate for human visual distortions caused by refractive errors. šŸ“‚ Dataset structure: train/ 1000 color images from ImageNet-21k (resized to 512Ɨ512) PSFs from three categories: narrow, medium, and broad test/ 735 color test images from th

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This dataset supports the paper "Dual-Input Neural Networks for Personalized Image Precompensation" (J. Imaging, 2025).It includes color images and point spread functions (PSFs) used to train and evaluate deep neural networks that compensate for human visual distortions caused by refractive errors.

šŸ“‚ Dataset structure:

train/

1000 color images from ImageNet-21k (resized to 512Ɨ512)

PSFs from three categories: narrow, medium, and broad

test/

735 color test images from th