JPEG XL Compressor is a new standard designed to improve upon the capabilities of the original JPEG. It is a reversible image format, meaning that it can be used to recompress JPEG content, or even reproduce the original image in its native format. The format is free and open-source software, and it can be installed on a variety of operating systems.
JPEG XL is designed to be fast to encode, thereby reducing the amount of time needed to produce a high-quality image. The format also offers various features to help streamline the process. This includes progressive decoding, layers, and a nameable layer. Aside from being a fast format to encode, JPEG XL also offers several features to help users choose the type of compression that suits their needs.
Aside from the usual 32-bit floats, JPEG XL Compressor can push up to 24-bit true col or. This is useful for scientific applications, printing use cases, and spot col or. Another benefit of the format is the ability to re-compress JPEG content in a lossless way. Rather than re-encoding each pixel, JPEG XL creates a JPEG code stream from which the image can be recreated. In addition to layers, JPEG XL can support alpha transparency, CMYK, and selection masks. It can also support progressive decoding, which will display a lower-quality image until the rest of the data is downloaded.
The JPEG XL Compressor format is currently being standardized. A main part of the standard was published in March 2022, and a reference implementation is scheduled for release in August 2022. It is also being embraced by the web browser community, as evidenced by the Chromium bug tracker, the Discord server, and Shop if expressed support for the format.
The Discrete Cosine Transform, or DCT, is the core of the JPEG format. DC is used to create a coarse preview image for progressive decoding, but it does not have to be 8×8 to be effective. DC can be used alongside other types of lossless compression, such as DCT, to encode low-resolution images. DC can also be used for a variety of other use cases, such as encoding different auxiliary images.
One of the most notable features of the JPEG XL format is its ability to support full YUV 4:4:4 sampling. This is a great way to optimize the format for use on slow broadband connections. The format also supports a wide range of col or. Unlike other formats, the file sizes of JPEG XL are only slightly smaller than those of the original image.
Compared to the older image formats, JPEG XL Compressor is a much more feature-rich image format. It offers lossless compression, animation, and progressive decoding. It also works fast on hardware of today. And because it’s open source, it can be incorporated into many image-related software applications.
The JPEG XL reference encoder is designed to perform high-fidelity encoding automatically. The encoder is configured according to a perceptual fidelity target. The perceptual model is a loosely based version of the human system. It discards high-frequency information such as col or hue and sharp transitions in intensity. The result is a compressed image that retains overall col or. However, it produces a higher number of noticeable in heavily compressed images.
The JPEG XL format is also designed for very high resolutions. It can support up to 1.2 billion pixels per side and up to 24 bits per channel. This means it can store pixels at high bit depths, and push up to 32-bit floats. It also supports CMYK for printing use cases. Compared to PNG, JPEG XL has a smaller file size. It can also handle more channels and layers. Despite its complexity, JPEG XL is already supported in many popular image software applications. The format is also based on an internal col or space called XYB, which was designed to avoid issues with traditional Y C Cr col or spaces.
JPEG XL is a relatively new image format that has been in development for nearly two years. It’s model after the legacy JPEG XL Compressor standard, but it’s been redesigned to offer a variety of new features for web delivery. These features include the ability to store additional channels, layers, selection masks, and out-of-focus background information.