Increasing Resolution of Multi-Spectral Mosaic-Array Cameras

Kanaev, Andrey; Kutteruf, Mary R.; Yetzbacher, Michael K.; DePrenger, Michael J.; Novak, Kyle; Miller, Corey

doi:10.1364/isa.2015.it2a.5

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some investiga-tions that assume no correlations between bands have been developed, 49,50 within which some are based on super-resolution. 51,52 Compressive sensing to compensate for the increasing sparsity have also been used successfully. [53][54][55] Specific to technology, such as Fourier SFA 56,57 and hybrid multi-camera approaches 58 and specific to application demosaicing 59 have also been developed.…”

Section: Introductionmentioning

confidence: 99%

N-LMMSE Demosaicing for Spectral Filter Arrays

Amba¹,

Thomas²,

Alleysson³

2017

jist

View full text Add to dashboard Cite

Abstract. Spectral filter array (SFA) technology requires development on demosaicing. The authors extend the linear minimum mean square error with neighborhood method to the spectral dimension. They demonstrate that the method is fast and general on Raw SFA images that span the visible and near infra-red part of the electromagnetic range. The method is quantitatively evaluated in simulation first, then the authors evaluate it on real data by the use of non-reference image quality metrics applied on each band. Resulting images show a much better reconstruction of text and high frequencies at the expense of a zipping effect, compared to the benchmark binary-tree method.

show abstract