Noise regeneration in compressed x-ray images

Marcel M. Breeuwer; Peter J. van Otterloo

doi:10.1117/12.238453

15 April 1996 Noise regeneration in compressed x-ray images

Marcel M. Breeuwer, Peter J. van Otterloo

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238453
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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.

Citation Download Citation

Marcel M. Breeuwer and Peter J. van Otterloo "Noise regeneration in compressed x-ray images", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238453

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