Google is attacking slow-loading web pages with the new JPEG image encoder/decoder Jpegli, which offers a 35 percent compression ratio improvement using high quality compression settings, the Alphabet company says. The Jpegli JPEG coding library offers backward compatibility via “a fully interoperable encoder and decoder complying with the original JPEG standard and its most conventional 8-bit formalism, and API/ABI compatibility with libjpeg-turbo and MozJPEG,” Google says. The resulting images compressed using Jpegli are “more precise and psychovisually effective” as a result of computations that make images “look clearer” with “fewer observable artifacts.” Continue reading Google Introduces Faster, More Efficient JPEG Coding Library

Facebook unveiled Spectrum, an open-source image processing library to help improve the quality and reliability of images uploaded through its own apps. Spectrum, which Facebook first showed publicly and launched in beta in November, is now on GitHub, available to the developer community. As higher quality cameras on smartphones have become a key selling point, consumers are dealing with larger image files, which can be a stumbling block since they eat up more device memory and more network bandwidth. Continue reading Facebook Introduces Open-Source Image Processing Library