@inproceedings{79efb4c9c10d41af89ec1bb5613b534a,
title = "Mammogram JPEG quantisation matrix optimisation for PACS",
abstract = "Clinical procedures and legal requirements increasingly demand greater performance in JPEG compression of digitised grayscale medical images without loss of visual fidelity or without exceeding a bounded error metric. Current JPEG common practice uses a default general-purpose luminance quantisation matrix. As an initial investigation into defining more suitable quantisation matrices for different medical image modalities, a new candidate matrix has been derived for mammograms. For a given SNR, the new quantisation matrix achieves a relative compression ratio performance improvement of approximately 22% for a quality factor of 95% and 15% for a quality factor of 85%. This study paves the way for a computationally intelligent approach to optimising the quantisation matrix for each medical image modality in both batch mode and adaptively on an image-by-image basis.",
author = "D. Campbell and A. Maeder and F. Tapia-Vergara",
year = "2001",
month = dec,
doi = "10.1109/ANZIIS.2001.974038",
language = "English",
series = "ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1--6",
booktitle = "ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference",
address = "United States",
note = "7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 ; Conference date: 18-11-2001 Through 21-11-2001",
}