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A Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms

机译:JPEG 2000压缩白细胞图像分割算法的质量分析。

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摘要

Reducing image file size by means of lossy compression algorithms can lead to distortions inimage contentaffectingdetection of fine detail structures, either by human orautomated 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 lossycompression, 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 beenlossy compressed. The quality loss is investigated near the lower compression boundby evaluating the performance of several segmentation algorithms together with objective quality metrics. The value of compression rate ofl42:1 is estimated from the experiments.
机译:通过有损压缩算法来减小图像文件的大小会导致图像内容的失真,从而影响对精细结构的检测,无论是人工观察还是自动观察。在通常占据大量磁盘空间的血细胞显微图像的情况下,在可控制的质量损失范围内使用此类程序是合理的。尽管JPEG 2000仍然是有损压缩的公认标准,但是仍需要建立一套指导原则,以便在有损模式下和特定应用中使用此编解码器。本文对重建的微观白细胞图像进行无损压缩后的质量进行了分析。通过评估几种分割算法的性能以及客观质量指标,在较低压缩界限附近对质量损失进行了研究。从实验中估计压缩比为142:1。

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