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Add info for filters 257 and 258 #160

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Nov 22, 2024
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Add info for filters 257 and 258 #160

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25 changes: 24 additions & 1 deletion docs/RegisteredFilterPlugins.md
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Expand Up @@ -21,6 +21,8 @@ List of Filters Registered with The HDF Group
---------------------------------------------
|Filter |Identifier Name |Short Description|
|--------|----------------|---------------------|
|257 |<a href="#hzip">hzip</a> |hzip compression used in Silo|
|258 |<a href="#fpzip">fpzip</a> |Duplicate of 32014 (fpzip, below)|
|305 |<a href="#lzo">LZO</a> |LZO lossless compression used by PyTables|
|307 |<a href="#bzip2">BZIP2</a> |BZIP2 lossless compression used by PyTables|
|32000 |<a href="#lzf">LZF</a> |LZF lossless compression used by H5Py project|
Expand Down Expand Up @@ -58,6 +60,25 @@ List of Filters Registered with The HDF Group

## <center>The Filters</center>

<h2 id="hzip">hzip Filter</h2>

#### Filter ID: 257

#### Filter Description:
hzip is a compression algorithm for lossless compression of structured and unstructured meshes composed of cells with hypercube topology.

#### Filter Information:
hzip was written by Peter Lindstrom at LLNL, and is based on the algorithm described in the following paper:

Peter Lindstrom and Martin Isenburg, "Lossless Compression of Hexahedral Meshes," IEEE Data Compression Conference, March 2008, 192-201.

https://computing.llnl.gov/projects/hzip

#### Contact Information:
Mark Miller
Email: miller86 at llnl dot gov

##
<h2 id="lzo">LZO Filter</h2>

#### Filter ID: 305
Expand Down Expand Up @@ -375,11 +396,13 @@ Email: pl at llnl dot gov

<h2 id="fpzip">fpzip</h2>

#### Filter ID: 32014
#### Filter ID: 32014 (and 258)

#### Filter Description:
fpzip is a library for lossless or lossy compression of 2D or 3D floating-point scalar fields. Although written in C++, fpzip has a C interface. fpzip was developed by Peter Lindstrom at LLNL.

Filter number 258 appeared in the Silo headers, but may not have been used in actual HDF5 files.

#### Filter Information:

For more information see: http://computation.llnl.gov/projects/floating-point-compression/
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