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Low-voltage 96 dB snapshot CMOS image sensor with 4.5 nW power dissipation per pixel.
Spivak, Arthur; Teman, Adam; Belenky, Alexander; Yadid-Pecht, Orly; Fish, Alexander.
Afiliación
  • Spivak A; The VLSI Systems Center, LPCAS, Ben-Gurion University, P.O.B. 653, Be'er-Sheva 84105, Israel. spivakar@bgu.ac.il
Sensors (Basel) ; 12(8): 10067-85, 2012.
Article en En | MEDLINE | ID: mdl-23112588
ABSTRACT
Modern "smart" CMOS sensors have penetrated into various applications, such as surveillance systems, bio-medical applications, digital cameras, cellular phones and many others. Reducing the power of these sensors continuously challenges designers. In this paper, a low power global shutter CMOS image sensor with Wide Dynamic Range (WDR) ability is presented. This sensor features several power reduction techniques, including a dual voltage supply, a selective power down, transistors with different threshold voltages, a non-rationed logic, and a low voltage static memory. A combination of all these approaches has enabled the design of the low voltage "smart" image sensor, which is capable of reaching a remarkable dynamic range, while consuming very low power. The proposed power-saving solutions have allowed the maintenance of the standard architecture of the sensor, reducing both the time and the cost of the design. In order to maintain the image quality, a relation between the sensor performance and power has been analyzed and a mathematical model, describing the sensor Signal to Noise Ratio (SNR) and Dynamic Range (DR) as a function of the power supplies, is proposed. The described sensor was implemented in a 0.18 um CMOS process and successfully tested in the laboratory. An SNR of 48 dB and DR of 96 dB were achieved with a power dissipation of 4.5 nW per pixel.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Semiconductores / Procesamiento de Imagen Asistido por Computador / Procesamiento de Señales Asistido por Computador Idioma: En Revista: Sensors (Basel) Año: 2012 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Semiconductores / Procesamiento de Imagen Asistido por Computador / Procesamiento de Señales Asistido por Computador Idioma: En Revista: Sensors (Basel) Año: 2012 Tipo del documento: Article País de afiliación: Israel