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

Weighted universal image compression.

M Effros1, P A Chou, R M Gray

  • 1Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA 91125, USA. effros@caltech.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 13, 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

The problem of over-medicalisation: How AOD disease models perpetuate inequity for young people with multiple disadvantage.

The International journal on drug policy·2022
Same author

Mixed anaerobic thoracic empyema: the first report of <i>Filifactor alocis</i> causing extra-oral disease.

New microbes and new infections·2019
Same author

The Detection and Estimation of Lactose in Urine.

Edinburgh medical journal·2018
Same author

Minimum cross-entropy pattern classification and cluster analysis.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

Intra-operative endotracheal tube stabilisation for facial burns.

Burns : journal of the International Society for Burn Injuries·2010
Same author

JPEG-compliant perceptual coding for a grayscale image printing pipeline.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
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 introduces a universal image compression strategy using two-stage coding for adaptable performance. This method significantly outperforms traditional single-stage systems across various image types.

Area of Science:

  • Computer Science
  • Signal Processing
  • Information Theory

Background:

  • Traditional image compression systems often require pre-defined source statistics, limiting performance when data characteristics vary.
  • Adaptable compression is crucial for applications with unknown or changing image source statistics over time or space.

Purpose of the Study:

  • To develop a general coding strategy for universal image compression systems.
  • To design two-stage coding structures that adapt to diverse and unknown source statistics.
  • To improve image compression performance by replacing single-stage codes with families of adaptable codes.

Main Methods:

  • Developed a two-stage coding strategy replacing traditional single-stage codes with a family of codes.
  • Investigated optimal design and use of weighted universal vector quantization, weighted universal bit allocation, and weighted universal transform coding.

Related Experiment Videos

  • Incorporated perceptual distortion measures and optimal parsing into the two-stage framework.

    • Main Results:

    • Weighted universal vector quantization achieved over 9 dB improvement on medical images compared to entropy-coded vector quantization.
    • Weighted universal bit allocation outperformed JPEG-style coding by over 2.5 dB on the same data.
    • Weighted universal transform coding surpassed single, data-optimized transform codes by over 6 dB on mixed data.

    Conclusions:

    • The proposed two-stage coding strategy offers significant performance gains over single-stage predecessors.
    • Universal image compression systems utilizing weighted universal techniques provide superior adaptability and efficiency.
    • The inclusion of perceptual distortion and optimal parsing further enhances the effectiveness of these advanced compression methods.