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 Experiment Videos

Real-time implementation of a new low-memory SPIHT image coding algorithm using DSP chip.

Yong Sun1, Hui Zhang, Guangshu Hu

  • 1Dept. of Electr. Eng., Tsinghua Univ., Beijing, China.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 6, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A novel approach to assess the treatment response using Gaussian random field in PET.

Medical physics·2016
Same author

Retrospective data-driven respiratory gating for PET using TOF information.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals.

Biomedical engineering online·2014
Same author

Detection of inter-patient left and right bundle branch block heartbeats in ECG using ensemble classifiers.

Biomedical engineering online·2014
Same author

CHENFIT-AMP, a nonlinear fitting and amplification strategy for cochlear hearing loss.

IEEE transactions on bio-medical engineering·2013
Same author

Performance evaluation of a modular detector unit for X-ray computed tomography.

Sensors (Basel, Switzerland)·2013
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

This study presents a real-time implementation of the Set Partitioning in Hierarchical Trees (SPIHT) algorithm using a DSP chip. Modifications significantly reduce memory requirements, making it a practical solution for real-time video coding.

Area of Science:

  • Digital Signal Processing
  • Image Compression
  • Wavelet Transforms

Background:

  • The Set Partitioning in Hierarchical Trees (SPIHT) algorithm is a well-known, efficient method for image compression.
  • High memory requirements pose a challenge for hardware implementation of the SPIHT algorithm.

Purpose of the Study:

  • To implement the SPIHT algorithm in real-time using a Digital Signal Processing (DSP) chip.
  • To address memory limitations and improve the performance of the SPIHT algorithm for hardware applications.

Main Methods:

  • Optimization of program structure to accelerate wavelet decomposition.
  • Modification of the SPIHT algorithm by introducing 'number of error bits' and 'absolute zerotree' concepts.
  • Development of a new coding control method based on the number of error bits.

Related Experiment Videos

Main Results:

  • Significant reduction in memory cost compared to the original SPIHT algorithm.
  • Successful real-time implementation meeting common video coding requirements.
  • Demonstration of a practical and efficient DSP solution for image compression.

Conclusions:

  • The modified SPIHT algorithm offers a practical and efficient DSP solution for real-time video coding.
  • The introduced modifications effectively address the memory limitations of the original SPIHT algorithm.
  • The optimized implementation achieves real-time performance suitable for video compression applications.