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Reduced human perception of FPN noise of the pyramidal readout CMOS image sensor

Author
SAFFIH, Faycal1 ; HORNSEY, Richard2
[1] Communication Research Laboratory, University of McMaster, McMaster, ON L8S 4K1, Canada
[2] Electrical and Computer Engineering Department, University of Waterloo, Waterloo, ON N2T3G1, Canada
Source

IEEE transactions on circuits and systems for video technology. 2007, Vol 17, Num 7, pp 924-930, 7 p ; ref : 26 ref

ISSN
1051-8215
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Active pixel sensor CMOS imager human visual system oblique effect pyramidal architecture
Keyword (fr)
Canal bus Capteur image CMOS Circuit intégré Détecteur image Echantillonnage Electronique de mesure Evaluation subjective Filtre spatial Imageur Interconnexion Pixel intelligent Réseau neuronal flou Technologie MOS complémentaire
Keyword (en)
Bus(channel) CMOS image sensors Integrated circuit Image sensor Sampling Readout electronics Subjective evaluation Spatial filters Imager Interconnection Smart pixels Fuzzy neural nets Complementary MOS technology
Keyword (es)
Canal colector Circuito integrado Detector imagen Muestreo Evaluación subjetiva Imager Interconexión Tecnología MOS complementario
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03F Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices / 001D03F06 Integrated circuits / 001D03F06A Design. Technologies. Operation analysis. Testing

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03F Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices / 001D03F16 Imaging devices

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03G Electric, optical and optoelectronic circuits / 001D03G03 Neural networks

Discipline
Computer science : theoretical automation and systems Electronics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18902510

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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