Joint Photographic Expert Group

The Joint Photographic Experts Group (JPEG) standard, while foundational for image compression, is the subject of ongoing research aimed at improving its efficiency, robustness, and integration with modern deep learning techniques. Current research focuses on developing learning-based codecs that outperform traditional methods in terms of compression ratios and image quality, particularly for specialized applications like fingerprint storage and point cloud representation. These advancements leverage architectures such as transformers and convolutional neural networks, often operating directly on compressed data to minimize computational overhead. The resulting improvements have significant implications for various fields, including digital image processing, computer vision, and data storage.