Researchers have developed an innovative technique for compressing spectral images, dramatically reducing their file sizes by 10 to 60 times while maintaining essential features like metadata. By utilizing a weighting step that prioritizes less important data, important information is preserved despite the lossy nature of the format. This development addresses barriers in industries reliant on spectral images, enhancing accessibility and usability. However, widespread practical use depends on further refinement of software tools for JPEG XL, as initial implementations may require further enhancements to achieve full functionality.
Using a weighting step to balance compression, this new method drastically reduces spectral image sizes, enabling better adoption in industries needing accurate visual data.
The researchers claim their innovative technique can achieve file size reductions of 10 to 60 times, allowing spectral images to become as manageable as regular photo formats.
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