The performance penalty for accessing individual image planes fromĮxternally compressed formats (zip, gzip, and 7-zip) is high, since theĭata must be decompressed. Worst – Entire dataset must be uncompressed, then the plane must be Poor – The appropriate OME-TIFF file must be uncompressed from theĪrchive, and the plane must be decoded from LZW. With clever threading, each plane can be decoded while the next Good – The plane must be decoded from base64, but the BinData LengthĪttributes can be used to derive offsets without scanning the entireįile. With clever threading, each plane can be decoded while the Good – The plane must be decoded from LZW, but IFDs identify planar Performed benchmarks involving individual planar access for eachįormat-mostly because for many of these formats (especially zip, gzipĪnd 7-zip) it is quite impractical to attempt efficient access toĮfficiency of access to individual planesīest – Pixels can be ripped directly from disk. The following table compiles our results with average plane sizeĬomputed from the numbers above, and briefly summarizes each format’sĪbility to efficiently access individual image planes. ![]() Requirements for each dataset with various formats and compression Thus, the byte counts between the downloadable ZIP files and the “zipped OME-TIFF” entry do not precisely match. The figures regarding various storage formats were computed from the Tubhiswt before the current schema version. This section provides an analysis of several file formats (including
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