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Proceedings Paper

Interactive wavelet-based 2D and 3D image compression
Author(s): Armando Manduca
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Paper Abstract

We have developed a software module which performs 2-D and 3-D image compression based on discrete wavelet transform/subband coding techniques. The software allows the user to interactively determine the tradeoff between compression ratio and fidelity (by viewing the results) and to interactively define specific regions of the image--of any size and shape--that are to be preserved with full fidelity while the rest of the image is compressed (again, viewing the results). The compression achieved is superior to the JPEG standard algorithm. We present sample results on a variety of medical images and direct comparisons with JPEG results. We also show examples of the improvements gained by true 3-D compression of a 3-D image (as opposed to 2-D compression of each slice), discuss human visual system response issues, and describe extensions of the current approach to still more efficient compression schemes.

Paper Details

Date Published: 30 June 1993
PDF: 12 pages
Proc. SPIE 1897, Medical Imaging 1993: Image Capture, Formatting, and Display, (30 June 1993); doi: 10.1117/12.146980
Show Author Affiliations
Armando Manduca, Mayo Clinic and Foundation (United States)


Published in SPIE Proceedings Vol. 1897:
Medical Imaging 1993: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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