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Proceedings Paper

Noise regeneration in compressed x-ray images
Author(s): Marcel M. Breeuwer; Peter J. van Otterloo
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Paper Abstract

Almost all present-day lossy image-compression methods are so-called waveform coders, i.e. they attempt to approximate the original image waveform as closely as possible with the available number of bits. At medium-to-low compression ratios this can usually be achieved quite well, but at high compression ratios clearly visible artefacts may be introduced into the coded images. During the compression of medical x-ray images we noticed that the data that suffer most from a high degree of compression are the noise-like components present in these images. The loss of these components is found to depreciate the perceived image quality. This paper proposes a method for modeling the noise components removed due to lossy compression and for regenerating these components during the decompression of the image.

Paper Details

Date Published: 15 April 1996
PDF: 12 pages
Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); doi: 10.1117/12.238453
Show Author Affiliations
Marcel M. Breeuwer, Philips Research Labs. (Netherlands)
Peter J. van Otterloo, Philips Research Labs. (Netherlands)

Published in SPIE Proceedings Vol. 2707:
Medical Imaging 1996: Image Display
Yongmin Kim, Editor(s)

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