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 Concept Videos

Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

You might also read

Related Articles

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

Sort by
Same author

BayesToF: multiresolution denoising of indirect time-of-flight distance maps.

Optics express·2026
Same author

Stokes Simplex Modeling for Polarization Image Denoising.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Centroiding Point-Objects With Event Cameras.

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

EBSnoR: Event-Based Snow Removal by Optimal Dwell Time Thresholding.

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

Event-Based Visual Microphone Based on Specular Reflections Off Angularly Deformed Surfaces.

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

LMP-GAN: Out-of-Distribution Detection for Non-Control Data Malware Attacks.

IEEE transactions on pattern analysis and machine intelligence·2025

Related Experiment Video

Updated: Jul 1, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Spatio-spectral color filter array design for optimal image recovery.

Keigo Hirakawa1, Patrick J Wolfe

  • 1Statistics and Information Sciences Laboratory, Harvard University, Cambridge, MA 02138, USA. hirakawa@stat.harvard.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 12, 2008
PubMed
Summary

This study introduces novel color filter array designs for digital imaging. These new patterns improve spatial resolution and reconstruction fidelity while simplifying hardware complexity.

More Related Videos

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Related Experiment Videos

Last Updated: Jul 1, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Area of Science:

  • Digital Imaging
  • Color Filter Array Design
  • Image Reconstruction

Background:

  • Digital imaging relies on color filter arrays (CFAs) for spatial subsampling, measuring only one color value per pixel.
  • Demosaicking algorithms reconstruct full color images from incomplete CFA data, a common focus in research.
  • Existing CFA designs have limitations for optimal spatial reconstruction quality.

Purpose of the Study:

  • To address the problem of color filter array design for improved spatial reconstruction quality.
  • To formally define CFA design as maximizing spectral radii of luminance and chrominance channels under perfect reconstruction.
  • To develop new, robust panchromatic CFA designs implementable as subtractive colors.

Main Methods:

  • Proving the sub-optimality of a wide class of existing CFA patterns.
  • Developing a constructive method for optimal CFA design.
  • Implementing new designs as subtractive colors.
  • Conducting empirical evaluations on multiple color image test sets.

Main Results:

  • Demonstrated sub-optimality of many existing CFA patterns.
  • Developed a novel constructive method for CFA design.
  • Introduced new panchromatic CFA designs with subtractive color implementation.
  • Empirical evaluations confirmed theoretical results.

Conclusions:

  • The proposed CFA designs offer potential for increased spatial resolution with fixed sensor sizes.
  • New designs contribute to improved reconstruction fidelity in digital imaging.
  • The developed method can significantly reduce hardware complexity in imaging systems.