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

High-quality MRC document coding.

Guotong Feng1, Charles A Bouman

  • 1Ricoh Innovations Inc, Menlo Park, CA 94025-7054, USA. feng@rii.ricoh.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|October 7, 2006
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

Tomographic Sparse View Selection Using the View Covariance Loss.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Dual-comb mid-infrared spectromicroscopy with photothermal fluorescence detection.

Optics express·2025
Same author

XCal: model-based approach to X-ray CT spectral calibration.

Optics express·2025
Same author

A machine learning decision criterion for reducing scan time for hyperspectral neutron computed tomography systems.

Scientific reports·2024
Same author

High-precision inversion of dynamic radiography using hydrodynamic features.

Optics express·2022
Same author

Physics-based iterative reconstruction for dual-source and flying focal spot computed tomography.

Medical physics·2021
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 resolution-enhanced rendering (RER) and interpolative RER (IRER) to improve document compression. These methods enhance decoded document fidelity for text and graphics while maintaining high compression ratios.

Area of Science:

  • Digital image processing
  • Data compression
  • Computer vision

Background:

  • Mixed Raster Content (MRC) models offer effective document compression.
  • MRC methods often use binary mask layers but can distort fine details like text edges.
  • Existing MRC techniques struggle with preserving fidelity at high compression ratios.

Purpose of the Study:

  • To propose a novel method for encoding/decoding the binary mask layer in MRC to improve document fidelity.
  • To introduce resolution-enhanced rendering (RER) and interpolative RER (IRER) for enhanced text and graphic rendering.
  • To achieve substantial improvements in decoded document fidelity at a fixed bit rate.

Main Methods:

  • Developed resolution-enhanced rendering (RER) using adaptive dithering and nonlinear prediction for decoding a gray-level mask.

Related Experiment Videos

  • Jointly optimized dithering and nonlinear prediction algorithms for minimal distortion.
  • Introduced interpolative RER (IRER) by incorporating interpolation into the MRC decoder for coding at lower resolutions.

    • Main Results:

    • RER and IRER methods substantially improve decoded document fidelity of text and graphics.
    • The methods achieve high compression ratios while preserving fine document details.
    • Experimental results demonstrate superior performance compared to existing MRC-based compression algorithms.

    Conclusions:

    • RER and IRER offer significant advancements in MRC-based document compression.
    • These methods effectively balance compression efficiency with high-fidelity rendering.
    • The proposed techniques are valuable for applications requiring high-quality document image compression.