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

Binary tree-based generic demosaicking algorithm for multispectral filter arrays.

Lidan Miao1, Hairong Qi, Rajeev Ramanath

  • 1Department of Electrical and Computer Engineering, Advanced Imaging and Collaborative Information Processing Group, The University of Tennessee, Knoxville, TN 37996, USA. lmiao1@utk.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 2, 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

Mathematical Framework for Quantifying Delocalization in MALDI-MSI via a Composite Scoring Approach.

ACS measurement science au·2026
Same author

Broiler Mobility Assessment via a Semi-Supervised Deep Learning Model and Neo-Deep Sort Algorithm.

Animals : an open access journal from MDPI·2023
Same author

Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification.

IEEE transactions on neural networks and learning systems·2021
Same author

Non-Local Representation Based Mutual Affine-Transfer Network for Photorealistic Stylization.

IEEE transactions on pattern analysis and machine intelligence·2021
Same author

Characterizing Sounds of Different Sources in a Commercial Broiler House.

Animals : an open access journal from MDPI·2021
Same author

Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods.

Accident; analysis and prevention·2021
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
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
See all related articles

This study introduces a novel multispectral filter array (MSFA) demosaicking method for advanced imaging. The new technique offers cost reduction and robust performance in multispectral imaging applications.

Area of Science:

  • Multispectral Imaging
  • Image Processing
  • Optical Engineering

Background:

  • Color filter arrays (CFAs) are standard in digital cameras, but extending this to multispectral filter arrays (MSFAs) for broader spectral imaging presents challenges.
  • Existing CFA demosaicking algorithms are not directly applicable to MSFAs due to differences in spectral range and pattern complexity.

Purpose of the Study:

  • To develop a generic demosaicking algorithm for multispectral filter arrays (MSFAs).
  • To address challenges in MSFA design, including handling diverse patterns, coarser spatial resolution, and lower spectral correlation.

Main Methods:

  • A binary tree-based generic demosaicking method was developed for MSFA data.
  • Performance was evaluated using root mean-square error (RMSE) for reconstruction and classification accuracy for target discrimination.

Related Experiment Videos

Main Results:

  • The proposed demosaicking method achieved low RMSE (less than 7) for reconstructed images.
  • Comparable classification performance was observed between demosaicked and original multispectral images.

Conclusions:

  • The multispectral filter array (MSFA) technique is viable for multispectral imaging, offering significant advantages.
  • The developed generic demosaicking algorithm effectively processes MSFA data, enabling robust multispectral imaging systems.