Reducing image file size by means of lossy compression algorithm scan lead to distortions in image content affecting detection of fine detail structures, either by human or automated observation. In the case of microscopic images of blood cells, which usually occupy large amounts of disk space, the use of such procedures is justified within a controlled quality loss. Although JPEG 2000 remains as the accepted standard for lossy compression, still a set of guidelines need to be established in order to use this codec in its lossy mode and for particular applications. The present paper deals with a quality analysis of reconstructed microscopic leukocytes images after they have been lossy compressed. The quality loss is investigated near the lower compression bound by evaluating the performance of several segmentation algorithms together with objective quality metrics. The value of compression rate of 142:1 is estimated from the experiments.
Falcón-Ruiz, A, Paz-Viera, J, Taboada, A, Sahli, H, Bloch, I (ed.) & Cesar, RM (ed.) 2010, 'A Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms', Lecture Notes in Computer Science, vol. 6419, pp. 161-168.
Falcón-Ruiz, A., Paz-Viera, J., Taboada, A., Sahli, H., Bloch, I. (Ed.), & Cesar, R. M. (Ed.) (2010). A Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms. Lecture Notes in Computer Science, 6419, 161-168.
@article{47f891fdefb549f881e5097c14a2f390,
title = "A Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms",
abstract = "Reducing image file size by means of lossy compression algorithm scan lead to distortions in image content affecting detection of fine detail structures, either by human or automated observation. In the case of microscopic images of blood cells, which usually occupy large amounts of disk space, the use of such procedures is justified within a controlled quality loss. Although JPEG 2000 remains as the accepted standard for lossy compression, still a set of guidelines need to be established in order to use this codec in its lossy mode and for particular applications. The present paper deals with a quality analysis of reconstructed microscopic leukocytes images after they have been lossy compressed. The quality loss is investigated near the lower compression bound by evaluating the performance of several segmentation algorithms together with objective quality metrics. The value of compression rate of 142:1 is estimated from the experiments.",
keywords = "segmentation, compression, cell images",
author = "Alexander Falc{\'o}n-Ruiz and J. Paz-Viera and A. Taboada and Hichem Sahli and I. Bloch and Cesar, {R. M.}",
note = "I. Bloch and R. M. Cesar; CIARP 2010 - 15th Iberoamerican Congress on Pattern Recognition ; Conference date: 08-11-2010 Through 11-11-2010",
year = "2010",
language = "English",
volume = "6419",
pages = "161--168",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",
}