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Related Experiment Video

Updated: May 12, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

JPEG2000 still image coding quality.

Tzong-Jer Chen1, Sheng-Chieh Lin, You-Chen Lin

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

Journal of Digital Imaging
|April 17, 2013
PubMed
Summary
This summary is machine-generated.

Medical image compression using JPEG2000 algorithms, Apollo and JJ2000, results in statistically equivalent image quality. Objective metrics confirm indistinguishable quality across various modalities and compression ratios, ensuring reliable medical image archiving.

Related Experiment Videos

Last Updated: May 12, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Area of Science:

  • Medical Imaging
  • Image Compression
  • Digital Health

Background:

  • JPEG2000 is a popular standard for medical image compression.
  • Different software implementations of JPEG2000 may affect image quality and compression performance.
  • Evaluating image quality objectively is crucial for clinical applications.

Purpose of the Study:

  • To compare the image quality of medical images compressed using two distinct JPEG2000 programs: Apollo and JJ2000.
  • To determine if variations in software implementation lead to significant differences in compression performance and image fidelity.

Main Methods:

  • Applied JPEG2000 compression algorithms (Apollo and JJ2000) to three medical image modalities.
  • Utilized compression ratios ranging from 10:1 to 100:1.
  • Evaluated reconstructed image quality using five objective metrics and Spearman rank correlation coefficients.

Main Results:

  • Both Apollo and JJ2000 demonstrated statistically equivalent image quality across all evaluated modalities and compression ratios.
  • Objective metrics showed high correlation (r > 0.98, p < 0.001) between the two programs.
  • No significant differences in image quality were detected between the two JPEG2000 implementations.

Conclusions:

  • The image quality achieved by Apollo and JJ2000 for medical image compression is statistically indistinguishable.
  • Clinicians can be confident in using either program for JPEG2000-based medical image compression without compromising image fidelity.
  • Software implementation details of JPEG2000 do not significantly impact the objective image quality for medical applications.