A low power Successive Approximation ADC with variable-resolution for CMOS Image sensor

2019 ◽  
Author(s):  
Malika Alami Marktani ◽  
Ali Ahaitouf ◽  
Abdelaziz Ahaitouf
Keyword(s):  
Low Power ◽  
Successive Approximation ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Variable Resolution ◽  
Successive Approximation Adc

Ultra-low-power variable-resolution successive approximation ADC for biomedical application

2005 ◽  
Vol 41 (11) ◽  
pp. 634 ◽  
Author(s):  
H.P. Le ◽  
J. Singh ◽  
L. Hiremath ◽  
V. Mallapur ◽  
A. Stojcevski
Keyword(s):  
Low Power ◽  
Successive Approximation ◽  
Biomedical Application ◽  
Ultra Low Power ◽  
Variable Resolution ◽  
Successive Approximation Adc

A Two-Tap Indirect Time-of-Flight CMOS Image Sensor With Pump Gate Modulator for Low-Power Applications

2021 ◽  
pp. 1-7
Author(s):  
Bing Zhang ◽  
Congzhen Hu ◽  
Junhua Lai ◽  
Youze Xin ◽  
Zhuoqi Guo ◽  
...  
Keyword(s):  
Low Power ◽  
Time Of Flight ◽  
Cmos Image Sensor ◽  
Image Sensor

scholarly journals Block-Based Low-Power CMOS Image Sensor with a Simple Pixel Structure

2014 ◽  
Vol 23 (2) ◽  
pp. 87-93
Author(s):  
Ju-Yeong Kim ◽  
Jeongyeob Kim ◽  
Myunghan Bae ◽  
Sung-Hyun Jo ◽  
Minho Lee ◽  
...  
Keyword(s):  
Low Power ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Low Power Cmos ◽  
Block Based

A 65 nm 0.5 V DPS CMOS Image Sensor With 17 pJ/Frame.Pixel and 42 dB Dynamic Range for Ultra-Low-Power SoCs

2015 ◽  
Vol 50 (10) ◽  
pp. 2419-2430 ◽  
Author(s):  
Numa Couniot ◽  
Guerric de Streel ◽  
Francois Botman ◽  
Angelo Kuti Lusala ◽  
Denis Flandre ◽  
...  
Keyword(s):  
Low Power ◽  
Dynamic Range ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Ultra Low Power

A Low-Power 65/14nm Stacked CMOS Image Sensor

2020 ◽  
Author(s):  
Minho Kwon ◽  
Seunghyun Lim ◽  
Hyeokjong Lee ◽  
Il-Seon Ha ◽  
Moo-Young Kim ◽  
...  
Keyword(s):  
Low Power ◽  
Cmos Image Sensor ◽  
Image Sensor

scholarly journals Design of an Edge-Detection CMOS Image Sensor with Built-in Mask Circuits

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3649
Author(s):  
Minhyun Jin ◽  
Hyeonseob Noh ◽  
Minkyu Song ◽  
Soo Youn Kim
Keyword(s):  
Power Consumption ◽  
Edge Detection ◽  
Low Power ◽  
High Speed ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Frame Rate ◽  
Oxide Semiconductor ◽  
Total Power ◽  
Total Power Consumption

In this paper, we propose a complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that has built-in mask circuits to selectively capture either edge-detection images or normal 8-bit images for low-power computer vision applications. To detect the edges of images in the CIS, neighboring column data are compared in in-column memories after column-parallel analog-to-digital conversion with the proposed mask. The proposed built-in mask circuits are implemented in the CIS without a complex image signal processer to obtain edge images with high speed and low power consumption. According to the measurement results, edge images were successfully obtained with a maximum frame rate of 60 fps. A prototype sensor with 1920 × 1440 resolution was fabricated with a 90-nm 1-poly 5-metal CIS process. The area of the 4-shared 4T-active pixel sensor was 1.4 × 1.4 µm2, and the chip size was 5.15 × 5.15 mm2. The total power consumption was 9.4 mW at 60 fps with supply voltages of 3.3 V (analog), 2.8 V (pixel), and 1.2 V (digital).

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