A Charge Compensation Phototransistor for High-Dynamic-Range CMOS Image Sensors

2018 ◽  
Vol 65 (7) ◽  
pp. 2932-2938 ◽  
Author(s):  
Shuang Cui ◽  
Zhaohan Li ◽  
Chao Wang ◽  
Xiaotian Yang ◽  
Xinyang Wang ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Charge Compensation ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Cmos Image Sensors ◽  
High Dynamic ◽  
A Charge

A signal-to-noise ratio comparison of high dynamic range CMOS image sensors

2009 ◽  
Author(s):  
Leo H. C. Braga ◽  
Suzana Domingues ◽  
José G. Gomes ◽  
Antonio C. Mesquita
Keyword(s):  
Dynamic Range ◽  
Signal To Noise Ratio ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Signal To Noise ◽  
Cmos Image Sensors ◽  
High Dynamic ◽  
Noise Ratio

scholarly journals A Tunable CMOS Image Sensor with High Fill-Factor for High Dynamic Range Applications

2020 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Fernando de Souza Campos ◽  
Bruno Albuquerque de Castro ◽  
Jacobus W. Swart
Keyword(s):  
Bias Voltage ◽  
Fill Factor ◽  
Dynamic Range ◽  
Operation Mode ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Control Voltage ◽  
Cmos Image Sensors ◽  
High Dynamic ◽  
High Fill Factor

Several CMOS imager sensors were proposed to obtain high dynamic range imager (>100 dB). However, as drawback these imagers implement a large number of transistors per pixel resulting in a low fill factor, high power consumption and high complexity CMOS image sensors. In this work, a new operation mode for 3 T CMOS image sensors is presented for high dynamic range (HDR) applications. The operation mode consists of biasing the conventional reset transistor as active load to photodiode generating a reference current. The output voltage achieves a steady state when the photocurrent becomes equal to the reference current, similar to the inverter operation in the transition region. At a specific bias voltage, the output swings from o to Vdd in a small light intensity range; however, high dynamic range is achieve using multiple readout at different bias voltage. For high dynamic range operation different values of bias voltage can be applied from each one, and the signal can be captured to compose a high dynamic range image. Compared to other high dynamic range architectures this proposed CMOS image pixel show as advantage high fill-factor (3 T) and lower complexity. Moreover, as the CMOS pixel does not operate in integration mode, de readout can be performed at higher speed. A prototype was fabricated at 3.3 V 0.35 µm CMOS technology. Experimental results are shown by applying five different control voltage from 0.65 to 1.2 V is possible to obtain a dynamic range of about 100 dB.

scholarly journals High Dynamic Range Imaging at the Quantum Limit with Single Photon Avalanche Diode-Based Image Sensors

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1166 ◽  
Author(s):  
Neale Dutton ◽  
Tarek Al Abbas ◽  
Istvan Gyongy ◽  
Francescopaolo Mattioli Della Rocca ◽  
Robert Henderson
Keyword(s):  
Dynamic Range ◽  
Single Photon ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Quantum Limit ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
Avalanche Diode ◽  
High Dynamic

scholarly journals An Analog Gamma Correction Scheme for High Dynamic Range CMOS Logarithmic Image Sensors

Sensors ◽  
2014 ◽  
Vol 14 (12) ◽  
pp. 24132-24145 ◽  
Author(s):  
Yuan Cao ◽  
Xiaofang Pan ◽  
Xiaojin Zhao ◽  
Huisi Wu
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Gamma Correction ◽  
Correction Scheme ◽  
High Dynamic

scholarly journals A high dynamic range imaging algorithm: implementation and evaluation

2019 ◽  
Vol 22 (3) ◽  
pp. 293-307
Author(s):  
Vu Hong Son
Keyword(s):  
Exposure Time ◽  
Dynamic Range ◽  
Weighting Function ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Current Image ◽  
High Dynamic ◽  
Low Dynamic Range ◽  
Algorithm Implementation ◽  
Hdr Image

Camera specifications have become smaller and smaller, accompanied with great strides in technology and thinner product demands, which have led to some challenges and problems. One of those problems is that the image quality is reduced at the same time. The decrement of radius lens is also a cause leading to the sensor not absorbing a sufficient amount of light, resulting in captured images which include more noise. Moreover, current image sensors cannot preserve whole dynamic range in the real world. This paper proposes a Histogram Based Exposure Time Selection (HBETS) method to automatically adjust the proper exposure time of each lens for different scenes. In order to guarantee at least two valid reference values for High Dynamic Range (HDR) image processing, we adopt the proposed weighting function that restrains random distributed noise caused by micro-lens and produces a high quality HDR image. In addition, an integrated tone mapping methodology, which keeps all details in bright and dark parts when compressing the HDR image to Low Dynamic Range (LDR) image for display on monitors, is also proposed. Eventually, we implement the entire system on Adlink MXC-6300 platform that can reach 10 fps to demonstrate the feasibility of the proposed technology.  

scholarly journals Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 653
Author(s):  
Paweł Pawłowski ◽  
Karol Piniarski ◽  
Adam Dąbrowski
Keyword(s):  
Video Processing ◽  
Dynamic Range ◽  
Autonomous Driving ◽  
High Dynamic Range ◽  
Image Sensors ◽  
Driver Assistance Systems ◽  
Clear Image ◽  
Highly Efficient ◽  
Data Volume ◽  
High Dynamic

In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a lossless reduction of data volume under developing and testing of video processing algorithms, e.g., in software in-the-loop (SiL) or hardware in-the-loop (HiL) conditions. Therefore, it was designed to achieve both: the state-of-the-art compression ratios and real-time compression feasibility. In tests we utilized FFV1 lossless codec and proved efficiency of up to 81 fps (frames per second) for compression and 87 fps for decompression performed on a single Intel i7 CPU.

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