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

Reduced-complexity delayed-decision algorithm for context-based image processing systems.

Raghavendra Singh1, Antonio Ortega

  • 1IBM India Research Laboratory, Delhi, India. raghavsi@in.ibm.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 11, 2007
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

LatinVisco: A latin american expert consensus on viscosupplementation for knee osteoarthritis.

Complementary therapies in medicine·2026
Same author

Sleep facilitates pattern separation through SK channel-mediated sparse coding.

Current biology : CB·2026
Same author

Behavioral screening defines the molecular Parkinsonism-related subgroups in Drosophila.

Nature communications·2026
Same author

Conservation tillage and sprinkler irrigation for sustainable water management and enhanced crop yields in maize and field pea cropping system.

Scientific reports·2026
Same author

Mega-plication is a novel gastric remodeling procedure for weight loss.

VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy·2025
Same author

MICU2 controls mitochondrial calcium signaling and migration in neurons during development.

Cell reports·2025
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 computationally efficient delayed-decision algorithm for image processing. The new method improves performance in image coding and denoising systems compared to existing approaches.

Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Signal Processing

Background:

  • Context-based image processing systems benefit from delayed decisions.
  • Traditional delayed-decision algorithms are often computationally expensive.
  • Adaptive image processing requires efficient decision-making.

Purpose of the Study:

  • To develop a reduced-complexity, one-pass delayed-decision algorithm.
  • To improve the performance of adaptive context-based image processing systems.
  • To address the computational limitations of traditional delayed-decision methods.

Main Methods:

  • A novel one-pass delayed-decision algorithm is proposed.
  • The algorithm systematically reduces the search space while preserving structure.

Related Experiment Videos

  • The algorithm is applied to image coding and image denoising systems.

    • Main Results:

    • The proposed algorithm outperforms instantaneous-decision algorithms.
    • The algorithm shows improved performance over higher-complexity delayed-decision methods.
    • Computational complexity is only slightly increased compared to instantaneous methods.

    Conclusions:

    • The proposed reduced-complexity algorithm enhances adaptive image processing.
    • Efficient delayed-decision processing is achievable for image coding and denoising.
    • This method offers a practical solution for computationally intensive image processing tasks.