Hyperspectral image compression techniques have become increasingly critical in modern remote sensing, where sensors collect vast spectral cubes composed of hundreds of contiguous bands. These ...

Many methods of lossy compression have been developed; however, a family of techniques called transform compression has proven the most valuable. The best example of transform compression is embodied ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

The CCSDS 122.0-B-1 specification is part of a standards suite developed by the Consultative Committee for Space Data Systems. The CCSDS is formed by the major space agencies of the world for the ...

There are two categories of data compression. The first reduces the size of a single file to save storage space and transmit faster. The second is for storage and transmission convenience. The JPEG ...

Given the image on the left, two study participants made the reconstruction on the right. People preferred their reconstruction to the image at the center, a highly compressed version of the original ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Deep learning (DL), a class of approaches involving self-learned discriminative features, is increasingly being applied to digital pathology (DP) images for tasks such as disease identification and ...

In image compression, a large file that could be cumbersome to store or share loses a small amount of visual information. This "lossiness" largely preserves the image while vastly reducing its file ...