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

Color demosaicking via directional linear minimum mean square-error estimation.

Lei Zhang1, Xiaolin Wu

  • 1Department of Electrical and Computer Engineering McMaster University, Hamilton, ON, Canada. johnray@mail.ece.mcmaster.ca

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2005
PubMed
Summary

This study introduces a novel color demosaicking method using optimal directional filtering and linear minimum mean square-error estimation (LMMSE) to enhance digital camera image quality. The technique improves upon existing methods in both objective (PSNR) and subjective visual perception metrics.

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 study of distribution and fate of nitrobenzene in a water/sediment microcosm.

Chemosphere·2007
Same author

In vivo dedifferentiation of human epidermal cells.

Cell biology international·2007
Same author

What is in a word? No versus Yes differentially engage the lateral orbitofrontal cortex.

Emotion (Washington, D.C.)·2007
Same author

[Gene expression profile changes in oral verrucous carcinoma and oral squamous cell carcinoma].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2007
Same author

Morphology of critical nuclei in solid-state phase transformations.

Physical review letters·2007
Same author

Enhanced cooperative activation effect in the hydrolytic kinetic resolution of epoxides on [Co(salen)] catalysts confined in nanocages.

Angewandte Chemie (International ed. in English)·2007

Area of Science:

  • Digital Imaging
  • Image Processing
  • Computer Vision

Background:

  • Digital cameras capture images using color filter arrays (CFAs), such as the Bayer pattern.
  • Demosaicking, the process of reconstructing full-color images from CFA data, is crucial for overall image quality.

Purpose of the Study:

  • To develop and present a novel color demosaicking technique.
  • To improve image quality by optimizing the estimation and reconstruction of color channels.

Main Methods:

  • Utilizes optimal directional filtering on green-red and green-blue difference signals.
  • Employs linear minimum mean square-error estimation (LMMSE) for adaptive estimation of missing green samples in horizontal and vertical directions.
  • Optimally fuses directional estimates to refine green channel reconstruction.

Related Experiment Videos

  • Reconstructs red and blue channels guided by the demosaicked green channel.

    • Main Results:

    • The proposed technique demonstrates superior performance compared to existing demosaicking methods.
    • Improvements are validated through both Peak Signal-to-Noise Ratio (PSNR) measurements and subjective visual perception assessments.
    • The method effectively reconstructs full-resolution color information from CFA data.

    Conclusions:

    • The presented color demosaicking technique offers significant advancements in image quality for digital cameras.
    • Optimal directional filtering and LMMSE provide a robust framework for demosaicking.
    • The method achieves state-of-the-art results in both quantitative and qualitative evaluations.