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Record W2077124017 · doi:10.1117/12.704519

A diffractive multispectral image sensor with on- and off-die signal processing and on-die optics in 0.18-micron CMOS

2007· article· en· W2077124017 on OpenAlexaff
Christopher Thomas, Richard Hornsey

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsYork University
Fundersnot available
KeywordsOpticsMonochromatic colorMultispectral imageImage sensorDie (integrated circuit)Signal processingOptical filterComputer sciencePhysicsDigital signal processingComputer hardwareArtificial intelligence

Abstract

fetched live from OpenAlex

On-die optics have been proposed for imaging, spectral analysis, and communications applications. These systems typically require extra process steps to fabricate on-die optics. Fabrication of diffractive optics using the metal layers in commercial CMOS processes circumvents this requirement, but produces optical elements with poor imaging behavior. This paper discusses the application of Wiener filtering to reconstruction of images suffering from blurring and chromatic aberration, and to identification of the position and wavelength of point sources. Adaptation of this approach to analog and digital FIR implementations are discussed, and the design of a multispectral imaging sensor using analog FIR filtering is presented. Simulations indicate that off-die post-processing can determine point source wavelength to within 5% and position to within ±0.05 radian, and resolve features 0.4 radian in size in images illuminated by white light. The analog hardware implementation is simulated to resolve features 0.4 radian in size illuminated by monochromatic light, and 0.7 radian with white light.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicCCD and CMOS Imaging SensorsFrench-language works237,207