@inproceedings{988bae67741a40e1880f632239b86958,
title = "Noise regeneration in compressed x-ray images",
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.",
keywords = "Lossy image compression, Noise modelling, Transform coding, X-ray images",
author = "Breeuwer, \{Marcel M.\} and \{Van Otterloo\}, \{Peter J.\}",
year = "1996",
month = dec,
day = "1",
doi = "10.1117/12.238453",
language = "English",
isbn = "0-81 94-2082-4",
series = "Proceedings of SPIE",
publisher = "SPIE",
pages = "261--272",
booktitle = "Medical Imaging 1996, Newport Beach, CA, United States",
address = "United States",
note = "Medical Imaging 1996: Image Display ; Conference date: 11-02-1996 Through 11-02-1996",
}