Abstract: Convolutional Neural Networks (CNNs) have shown significant success in the low-light image enhancement task. However, most of existing works encounter challenges in balancing quality and ...
Abstract: Underwater imaging presents unique challenges due to light absorption, scattering, and color distortion. Conventional image enhancement methods often fail to address these issues adequately, ...
This project supports all types of 2D medical X-ray images, including chest, dental, and others. It performs super-resolution and denoising using a RealESRGAN-based model. The application supports ...
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