Signal processing in CMOS image sensors

Nair, Ravi; Raj, Karthik

doi:10.1109/sips.2000.886778

Cited by 1 publication

(1 citation statement)

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“…As an example, Correlated Double Sampling (CDS) or Double Differencing Sampling (DDS) suppress FPN [49,43,50,51]. Others achieve high SNR [52] and ADC for camera-on-a-chip. Secondly, there are also several signal processing systems depending on the application.…”

Section: Analog Signal Processingmentioning

confidence: 99%

Review of CMOS image sensors

Bigas

Cabruja

Salví

2006

Microelectronics Journal

487

230

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The role of CMOS Image Sensors since their birth around the 1960s, has been changing a lot. Unlike the past, current CMOS Image Sensors are becoming competitive with regard to Charged Couple Device (CCD) technology. They offer many advantages with respect to CCD, such as lower power consumption, lower voltage operation, on-chip functionality and lower cost. Nevertheless, they are still too noisy and less sensitive than CCDs.Noise and sensitivity are the key-factors to compete with industrial and scientific CCDs. It must be pointed out also that there are several kinds of CMOS Image sensors, each of them to satisfy the huge demand in different areas, such as Digital photography, industrial vision, medical and space applications, electrostatic sensing, automotive, instrumentation and 3D vision systems.In the wake of that, a lot of research has been carried out, focusing on problems to be solved such as sensitivity, noise, power consumption, voltage operation, speed imaging and dynamic range. In this paper, CMOS Image Sensors are reviewed, providing information on the latest advances achieved, their applications, the new challenges and their limitations. In conclusion, the State-of-the-art of CMOS Image Sensors. q

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Section: Analog Signal Processingmentioning

confidence: 99%