Abstract: To address the challenges of poor visibility, blurred textures, and distortions in low-light conditions, this paper presents an image enhancement algorithm that integrates Retinex-based ...
Abstract: Digital images captured under a low-light environment often struggle to clearly assign the intensity due to uncertainty and insufficient illumination. To address such issues, fuzzy set ...
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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