AI Upscaling, Simplified

Upscale is a machine learning project designed to enhance low-resolution images by reconstructing higher-resolution detail using convolutional neural networks. It takes degraded or downscaled images and learns to predict sharper edges, textures, and structures that are typically lost through traditional interpolation methods such as bicubic scaling. The project is both educational and practical in nature, exploring core principles of deep learning and computer vision while demonstrating how neural networks can learn visual patterns to outperform standard upscaling techniques. Its potential applications include image restoration, graphics pipelines, and AI-assisted visual enhancement.