Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimization and implementation of scaling-free CORDIC-based direct digital frequency synthesizer for body care area network systems.

Computational and mathematical methods in medicine·2012
Same author

A rate-distortion-based merging algorithm for compressed image segmentation.

Computational and mathematical methods in medicine·2012
Same author

Nested quantization index modulation for reversible watermarking and its application to healthcare information management systems.

Computational and mathematical methods in medicine·2011
Same journal

Correction to "Mathematical Modelling of COVID-19 Transmission in Kenya: A Model with Reinfection Transmission Mechanism".

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Ligustrazine Inhibits Lung Phosphodiesterase Activity in a Rat Model of Allergic Asthma.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Empirical Analysis of the Nursing Effect of Intelligent Medical Internet of Things in Postoperative Osteoarthritis.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism.

Computational and mathematical methods in medicine·2024
Same journal

RETRACTION: Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

Computational and mathematical methods in medicine·2024
See all related articles

Related Experiment Video

Updated: May 28, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

An adaptive coding pass scanning algorithm for optimal rate control in biomedical images.

Hsi-Chin Hsin1, Tze-Yun Sung, Yaw-Shih Shieh

  • 1Department of Computer Science and Information Engineering, National United University, Miaoli City 36003, Taiwan.

Computational and Mathematical Methods in Medicine
|October 21, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive coding pass scanning (ACPS) algorithm for efficient biomedical image compression. ACPS improves upon the postcompression rate distortion (PCRD) method, offering better rate control and reduced computational time for telemedicine applications.

More Related Videos

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Related Experiment Videos

Last Updated: May 28, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Area of Science:

  • Biomedical imaging
  • Image compression algorithms
  • Telemedicine technology

Background:

  • High-efficiency and high-quality biomedical image compression is crucial for telemedicine.
  • Existing compression methods may not be optimal for rate control and resource utilization.

Purpose of the Study:

  • To present an adaptive coding pass scanning (ACPS) algorithm for optimal rate control in biomedical image compression.
  • To improve computational efficiency and memory space utilization compared to benchmark algorithms.

Main Methods:

  • Developed an adaptive coding pass scanning (ACPS) algorithm.
  • Implemented ACPS to identify and prioritize significant image portions, discarding insignificant data early.
  • Replaced the postcompression rate distortion (PCRD) benchmark algorithm with ACPS for comparative analysis.

Main Results:

  • ACPS effectively identifies significant image regions, discarding less important data early.
  • The ACPS algorithm demonstrates superior performance over PCRD in rate-distortion curves.
  • ACPS significantly reduces computation time compared to PCRD.

Conclusions:

  • ACPS offers a more efficient and effective approach to biomedical image compression.
  • The algorithm's ability to optimize rate control makes it highly suitable for telemedicine.
  • ACPS provides a valuable alternative to existing methods, enhancing resource management.