What is HDE (High Density Encoding)?
HDE stands for High Density Encoding. It is an encoding technique that is optimised for Bayer pattern images. ARRIRAW images encoded with HDE are approximately 60% of the original size. HDE encoding is completely lossless – when an HDE file is decoded, it is a bit-for-bit perfect match to the original file. For more information we also refer to the Codex HDE website.
HIGH DENSITY ENCODING
Provides bit-exact data reduction of uncompressed camera ARRIRAW files through encoding. HDE can reduce the overall storage size of RAW images by up to a 2:1 ratio.
What is High Density Encoding?
Codex High Density Encoding (HDE) is an easy to use tool for large format workflows to control the ever-increasing data footprint of RAW video images. Studios are demanding 4K and RAW image data to archive and future-proof the negative. Cinematic productions are in the process of transitioning from 2K to 4K (uncompressed in size) with camera manufacturers such as ARRI, offering up to 6.5K uncompressed images. High Frame Rate (HFR) and High Dynamic Range (HDR) add to this large format data footprint, leading to significant cost increases as well as storage and transmission challenges.
Uncompressed RAW data costs more to transport and store than compressed ProRes files. An uncompressed Bayer pattern image can be reduced to a HDE file size not much larger than a corresponding ProRes 4444 XQ mezzanine file. Except that with Codex HDE, you can access the original pixel values that were encoded.
Codex HDE Features
- Provides lossless reduction of the storage size of RAW images
- Encoding results in ARRIRAW images that are typically 60% of original size
- Works on Bayer pattern images of any size
- Data reduction is comparable to best-in-class lossless codecs
- Provides fast encoding and decoding speeds*
- Files, once decoded, are a bit-for-bit perfect match to the original file