Google has released Jpegli, a new open-source JPEG encoding program that promises to reduce image sizes by up to 35% compared to competing methods.
This way, images can be loaded faster on websites and applications without compromising quality.
Jpegli was developed based on the technologies used in JPEG XL, a more advanced image format. It uses new algorithms to reduce noise and store more details in smaller files.
“Jpegli uses a series of new techniques to reduce noise and enhance image quality; specifically, adaptive quantization for JPEG XL baseline decoding, improved quantization matrix selection, accurate computation of intermediate results, and the ability to use more advanced ‘color’ space. All new methods have been carefully designed to use traditional 8-bit JPEG formats, so that modern compressed images are compatible with current JPEG display software such as browsers, image processing programs, and more.”
The new technology provides more efficient compression while maintaining compatibility with all browsers and image viewing tools.
Google has made Jpegli available as open source on GitHub, allowing developers and companies to integrate it into their products.
Jpegli is expected to be widely adopted as it offers an easy way to reduce image sizes without compromising quality.
In addition to benefits for users, Jpegli can also help reduce bandwidth consumption and required storage space for storing images.
This can be especially useful for companies like Google, which host large image libraries.
