Practical analysis of TIFF file size reductions achievable through compression
Name
May_Davies_Practical.pdf
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visibility:open
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468.91 KB
Format
Adobe PDF
Checksum (CRC64NVME)
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Resource type
Conference paper (published)
Creator (person)
May, Peter
Davies, Kevin
Date published
2016
Abstract
This paper presents results of a practical analysis into the effects of three main lossless TIFF compression algorithms – LZW, ZIP and Group 4 – on the storage requirements for a small set of digitized materials. In particular we are interested in understanding which algorithm achieves a greater reduction in overall storage, and whether there is any variation based on the type of file (e.g. colour depth). We compress 503 files with two software utilities – ImageMagick and LibTiff – and record the resulting file size for comparison against the original uncompressed version. Overall we find that in order to effectively (although not necessarily optimally) reduce total storage, Group 4 compression is most appropriate for 1-bit/pixel images, and ZIP compression is suited to all others. We also find that ImageMagick – which uses the LibTiff library – typically out-performs LibTiff with respect to compressed file sizes, noting that this appears to be the result of setting the “Predictor” tag.
Event title
iPRES 2016 - 13th International Conference on Preservation of Digital Objects
Publisher
Swiss National Library
Official URL
Keywords