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Record W1984096695 · doi:10.1117/12.765927

Mitigating polarization effects in on-die diffractive optics for a CMOS image sensor

2008· article· en· W1984096695 on OpenAlexaff
Christopher Thomas, Richard Hornsey

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
Typearticle
Languageen
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsYork University
Fundersnot available
KeywordsOpticsPoint spread functionMicrolensPolarization (electrochemistry)Image sensorPhysicsWavelengthDeconvolutionOptical transfer functionImage resolutionOptical filterCMOS sensorFourier opticsOptoelectronicsFourier transformLens (geology)

Abstract

fetched live from OpenAlex

On-die optics have been proposed for stand-alone image sensors. Previous works by the authors have proposed fabricating diffractive optical elements using the upper metal layers in a commercial CMOS process. This avoids the cost associated with process steps associated with microlens fabrication, but results in a point spread function that varies with the wavelength, angle, and polarization of incident light. Wavelength and angle sensitivities have been addressed by previous works. This paper models the effects of polarization on the point spread function of the imaging system, and proposes optical and algorithmic methods for compensating for these effects. The imaging behaviors of the resulting systems are evaluated. Simulations indicate that the uncorrected system can locate point sources to within +/-0.1 radian, and polarized point sources to within +/-0.05 radian along the axis of polarization. A system is described that uses a polarization-insensitive optical element and a deconvolution filter to achieve a corrected resolution pf +/-0.05 radian, with the ability to perform imaging of non-point sources with white light illumination.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.222
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicOptical Polarization and EllipsometryFrench-language works237,207