Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7537, Issue , 2010, Pages

  Bosco, A ^a   Bruna, R A ^a   Giacalone, D ^a   Battiato, S ^b,c   Rizzo, R ^b,c  

^a STMICROELECTRONICS   (Italy)

^b UNIVERSITY OF CATANIA   (Italy)

^c Image Processing Lab

Author keywords

CMOS; Curve fitting; Noise estimation; Raw data; Sensor noise; Signal dependent noise

Indexed keywords

ADAPTIVE SIGNALS; COLOR FILTER ARRAYS; CONTROLLED TESTS; DYNAMIC RANGE; GAUSSIAN DISTRIBUTED; GAUSSIAN FILTERS; MULTIPLE ACQUISITIONS; NOISE CHARACTERIZATION; NOISE ESTIMATION; NOISE LEVEL ESTIMATION; NOISE LEVELS; NOISE REDUCTION FILTERS; NOISE SOURCE; RAW IMAGES; SENSOR NOISE; SIGNAL DEPENDENT NOISE MODEL; SIGNAL INTENSITIES; SIGNAL LEVEL; STANDARD DEVIATION; TEST PATTERN;

CMOS INTEGRATED CIRCUITS; COLOR PHOTOGRAPHY; CURVE FITTING; DIGITAL CAMERAS; ESTIMATION; FEEDBACK AMPLIFIERS; IMAGE PROCESSING; SENSORS;

SIGNAL PROCESSING;

EID: 77749307682     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.838608     Document Type: Conference Paper

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