Estimating quality bounds of JPEG 2000 compressed leukocytes images

Authors:
Alexander Falcón-Ruiz;Juan Paz-Viera;Hichem Sahli
Affiliations:
Center for Studies on Electronics and Information Technologies, Universidad Central de Las Villas, Santa Clara, VC, Cuba;Center for Studies on Electronics and Information Technologies, Universidad Central de Las Villas, Santa Clara, VC, Cuba;Vrije Universiteit Brussel, Dept. Electronics & Informatics, Brussels, Belgium
Venue:
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Year:
2010

Citing 5
Cited 0

Comparing Images Using the Hausdorff Distance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Processing - Principles and Applications

Image Processing - Principles and Applications
Effects of JPEG2000 data compression on an automated system for detecting clustered microcalcifications in digital mammograms

IEEE Transactions on Information Technology in Biomedicine
Active contours without edges

IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Several pathologies are detected by counting different types of leukocytes indigital microscopic images. However, manipulation of these images, i.e. storage and/or transmission, can be complicated by the large sizes of the files containing them. In order to tackle this particular situation, lossy compression codecssuch as JPEG2000 have been employed while preserving the overall perceived image quality. In this paper a strategy based on objective quality metrics and performance of segmentation algorithms is proposed for the estimation of the maximal allowable compression rate (CR) where deterioration introduced in the images by the JPEG 2000 codec does not affect identification of white blood cells. Results indicate that the estimated value lays around CR = 142:1as measured by the metrics employed.