Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...

Abstract: Compression artifacts — blockiness, ringing, and banding — are inevitable by-products of lossy image compression. Nowadays, removing these artifacts is routinely handled by deep-learning ...

After cloning the repository, you can follow these steps to train GaussianImage models under different tasks. If you encounter errors while installing the packages ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

What if you could turn a simple image into fully functional code, without lifting a finger to write it yourself? The rise of AI-powered tools like Claude Code is making this a reality, and it’s not ...