
DICOM Image Compression Methods Comparison
"Explore various image compression methods, such as Deflate, for DICOM images, specifically focusing on bilevel pixel data. Learn about different compression ratios and their practical applications in the medical imaging field. Discover how Deflate is used for frame-level access to compressed WSI SEG tiles. Find out about the pros and cons of using Deflate compared to other compression schemes like J2K and JBIG. Gain insights into how compression impacts file size and access speed for medical images." (415 characters)
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Presentation Transcript
Sup 244 - Frame Deflate Transfer Syntax DICOM WG 4 David Clunie Final Text 2025/01
Single bit (bilevel) image pixel data Most commonly used for BINARY SEG bit-planes small number of frames very large number of frames, e.g., SEG of whole slide imaging high-res layer Can theoretically be used for other image applications Historically addressed by specific compression schemes JBIG, JBIG2 Group 4 Fax No dedicated DICOM bilevel image Transfer Syntaxes Some existing Transfer Syntaxes like J2K support bilevel theoretically
Deflate Already defined for entire dataset not practical for random access to very large number of frames Need intra-frame Transfer Syntax adequate for bilevel (single bit) deflate is sufficiently good without being ideal serves in lieu of dedicated bilevel schemes with poor support/license issues Allows DICOMweb frame level access to compressed WSI SEG tile propose to use as Content-Type, so stored and indexed that way not Content-Encoding (on-the-fly compress/decompress at lower layer) Content-Type will be application/x-deflate
Example Deflate is simulated within zip on pbm (negligible header) format Given 4,500,000 byte input WSI 40x SEG bilevel image Reduced to 1,224,130 = 3.68 compression ratio cf. 3.27 using J2K, 3.80 using bzip2 and 10.6 using JBIG obviously not as good as JBIG, latter not widely available, esp. in browsers simpler and faster than J2K