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J Digit Imaging. 2013 Oct;26(5):866-74. doi: 10.1007/s10278-013-9603-x.

JPEG2000 still image coding quality.

Author information

  • 1Department of Mathematics & Computer Science, Wuyi University, Wuyishan, Fujian, China, 354300, d838502@alumni.nthu.edu.tw.

Abstract

This work demonstrates the image qualities between two popular JPEG2000 programs. Two medical image compression algorithms are both coded using JPEG2000, but they are different regarding the interface, convenience, speed of computation, and their characteristic options influenced by the encoder, quantization, tiling, etc. The differences in image quality and compression ratio are also affected by the modality and compression algorithm implementation. Do they provide the same quality? The qualities of compressed medical images from two image compression programs named Apollo and JJ2000 were evaluated extensively using objective metrics. These algorithms were applied to three medical image modalities at various compression ratios ranging from 10:1 to 100:1. Following that, the quality of the reconstructed images was evaluated using five objective metrics. The Spearman rank correlation coefficients were measured under every metric in the two programs. We found that JJ2000 and Apollo exhibited indistinguishable image quality for all images evaluated using the above five metrics (r > 0.98, p < 0.001). It can be concluded that the image quality of the JJ2000 and Apollo algorithms is statistically equivalent for medical image compression.

PMID:
23589187
[PubMed - indexed for MEDLINE]
PMCID:
PMC3782606
[Available on 2014/10/1]
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