Google’s Jpegli Could be a Solution to JPEG’s Compression Challenges

Google has introduced a new open-source coding library, Jpegli, that promises to solve some of the biggest problems associated with JPEG images. JPEGs, while ubiquitous, often suffer from compression artifacts that degrade image quality. Jpegli aims to address this issue by offering a 35% improvement in compression rate over existing methods.

The new library is designed to reduce noise and store more details in smaller files, thereby improving image quality. It is fully compatible with existing JPEG encoders and decoders, making it an easy drop-in replacement. Jpegli also supports 10+ bits, leading to fewer artifacts and other image problems.

By compressing images without sacrificing quality, Jpegli can help to speed up page load times. This could potentially save significant bandwidth, especially for websites with heavy image content.

While Google has not yet announced plans to integrate Jpegli into its own products, the new library could have significant implications for services like Google Photos. By reducing the storage space required for images, Jpegli could ease the load on Google’s servers and improve the user experience.

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