The current standard format for storing this kind of data, OpenEXR, wasn't designed with these massive spectral requirements in mind. Even with built-in lossless compression methods like ZIP ...

Frameworks such as React, Angular and Vue, in combination with data visualization libraries like Highcharts, D3.js, AG Grid and others, transform raw insights into easy-to-interpret summaries ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret.

We’ve been hearing a lot about lossless ... all of the original data, and there’s no way to get it back when you decompress it. There are varying degrees of lossy compression.

At a high level, JPEG is a lossy image compression technique that meticulously balances file size with acceptable visual fidelity ... such as PNG, are lossless. This means that no information ...

For the compression, we propose to map the water column data into images and to compress each of them using image compressors. We devised two methods: a lossless coder based on linear predictors, and ...

Lossless compression means nothing is lost or left out when data is squeezed into smaller packages. This differs from lossy compression, which is what the image compression format JPEG uses.

And lossless compression means that no data is lost during the compression process. It stands in contrast to a lossy compression technique like JPEG, which sheds some data and reconstructs some of ...