More importantly, higher frequency spectral coefficients divide a weight stage that allows less important data to be compressed more aggressively by dividing the general brightness (DC component). This then fed to Codec and uses the method compression motor and standardized features, rather than inventing a completely new type of file. JPEG XL The image format to store specific spectral data specially.
Making spectral images easier
According to the researchers, the large file sizes of spectral images are reported to be a real obstacle to adoption in industries that will benefit from the accuracy. Smaller files mean faster transfer times, low storage costs, and the ability to operate more interactively without special hardware with these images.
The results reported by the researchers seem impressive-technicals, spectral image files shrink 10 to 60 times compared to standard Openexr lossless compression and reduce them to comparable size with normal high quality photos. They also maintain key Openexr properties such as meta data and high dynamic range support.
While some information was sacrificed in the compression process-this “lost” format-the carriers designed to at least notice details by focusing their compression artifacts in less important high-frequency spectral details to protect important visual information.
Of course, there are some limitations. Hinges on transforming the results of these research into widespread practical use, continuous improvement and improvement of the JPEG XL coding and coding software tools. Like many latest formats, it may be necessary to further improve to fully unlock each feature of first software applications. This is an ongoing work.
Spectral JPEG XL significantly reduces file size, while the loss approach can create disadvantages for some scientific applications. Spectral data can easily accept the change for the practical benefits of smaller files and the change for faster processing. In particular, others, which deals with precision measurements, may need to search for alternative storage methods.
For now, the new technique is primarily the attention of special fields such as scientific visualization and high -level rendering. However, as industries continue to produce larger spectral data clusters from automotive design to medical imaging, such compression techniques can help make these large files more practical.
