A 256×256 CMOS imaging array with wide dynamic range pixels and column-parallel digital output

Decker, S.; McGrath, Daniel; Brehmer, K.; Sodini, C.G.

doi:10.1109/4.735551

Cited by 241 publications

(52 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In order to widen the dynamic range, however, they used the stepped-reset-gate-voltage technique [21], where the voltage signal fed to the gate node of the reset transistor in the active pixel sensor (APS) is changed during the accumulation period. One of the advantages of this technique is that the response characteristics can be controlled by an external signal.…”

Section: A Vision Sensor With Brightness Constancy: Towardsmentioning

confidence: 99%

A Survey of neuromorphic vision system: --Biological nervous systems realized on silicon

Liu

Wang

2009

2009 International Conference on Industrial Mechatronics and Automation

View full text Add to dashboard Cite

Neuromorphic systems emulate the functionality of neural principles found in biology, especially in the brain structures of retina and cochlea. The paper focuses on the introduction of neuromophic vision systems. A brief history of neuromorphic systems and neuromorphic vision chips is presented, the advantages and disadvantages of neuromorphic vision systems are highlighted, and some research states towards realizing the systems are discussed in this paper. Finally the development trends of neuromophic vision systems are summarized. It is shown that the neuromophic vision systems have promising improvement prospects.

show abstract

Section: A Vision Sensor With Brightness Constancy: Towardsmentioning

confidence: 99%

A Survey of neuromorphic vision system: --Biological nervous systems realized on silicon

Liu

Wang

2009

2009 International Conference on Industrial Mechatronics and Automation

View full text Add to dashboard Cite

show abstract

“…In low light conditions, image sensors are usually operated in a high gain mode, and image quality suffers from low signal saturation due to the limited dynamic range. Many approaches have been introduced in order to expand the image sensor dynamic range while keeping low light image quality, including multiple exposure [1,2,3,4], logarithmic compression [5,6], knee compression [7], multiple column gain readout [8], and more [9,10]. …”

Section: Introductionmentioning

confidence: 99%

An Over 90 dB Intra-Scene Single-Exposure Dynamic Range CMOS Image Sensor Using a 3.0 μm Triple-Gain Pixel Fabricated in a Standard BSI Process

Takayanagi¹,

Yoshimura²,

Mori³

et al. 2018

Sensors

View full text Add to dashboard Cite

To respond to the high demand for high dynamic range imaging suitable for moving objects with few artifacts, we have developed a single-exposure dynamic range image sensor by introducing a triple-gain pixel and a low noise dual-gain readout circuit. The developed 3 μm pixel is capable of having three conversion gains. Introducing a new split-pinned photodiode structure, linear full well reaches 40 ke−. Readout noise under the highest pixel gain condition is 1 e− with a low noise readout circuit. Merging two signals, one with high pixel gain and high analog gain, and the other with low pixel gain and low analog gain, a single exposure dynamic rage (SEHDR) signal is obtained. Using this technology, a 1/2.7”, 2M-pixel CMOS image sensor has been developed and characterized. The image sensor also employs an on-chip linearization function, yielding a 16-bit linear signal at 60 fps, and an intra-scene dynamic range of higher than 90 dB was successfully demonstrated. This SEHDR approach inherently mitigates the artifacts from moving objects or time-varying light sources that can appear in the multiple exposure high dynamic range (MEHDR) approach.

show abstract

“…This condition results in large pixel sizes and low fill factor, which limit the sensor resolution. The well capacity adjusting (WCA) scheme described by Knight [15] and Sayag [16] and implemented by Decker [17] compresses the sensor’s current versus charge response curve using a lateral overflow gate. This technology is currently widely employed by integrating a lateral overflow integration capacitor in a pixel in complementary metal-oxide-semiconductor (CMOS) detectors [18,19,20].…”

Section: Introductionmentioning

confidence: 99%

Celestial Object Imaging Model and Parameter Optimization for an Optical Navigation Sensor Based on the Well Capacity Adjusting Scheme

Wang

Jiang

Zhang

2017

Sensors

View full text Add to dashboard Cite

The simultaneous extraction of optical navigation measurements from a target celestial body and star images is essential for autonomous optical navigation. Generally, a single optical navigation sensor cannot simultaneously image the target celestial body and stars well-exposed because their irradiance difference is generally large. Multi-sensor integration or complex image processing algorithms are commonly utilized to solve the said problem. This study analyzes and demonstrates the feasibility of simultaneously imaging the target celestial body and stars well-exposed within a single exposure through a single field of view (FOV) optical navigation sensor using the well capacity adjusting (WCA) scheme. First, the irradiance characteristics of the celestial body are analyzed. Then, the celestial body edge model and star spot imaging model are established when the WCA scheme is applied. Furthermore, the effect of exposure parameters on the accuracy of star centroiding and edge extraction is analyzed using the proposed model. Optimal exposure parameters are also derived by conducting Monte Carlo simulation to obtain the best performance of the navigation sensor. Finally, laboratorial and night sky experiments are performed to validate the correctness of the proposed model and optimal exposure parameters.

show abstract

A 256×256 CMOS imaging array with wide dynamic range pixels and column-parallel digital output

Cited by 241 publications

References 10 publications

A Survey of neuromorphic vision system: --Biological nervous systems realized on silicon

A Survey of neuromorphic vision system: --Biological nervous systems realized on silicon

An Over 90 dB Intra-Scene Single-Exposure Dynamic Range CMOS Image Sensor Using a 3.0 μm Triple-Gain Pixel Fabricated in a Standard BSI Process

Celestial Object Imaging Model and Parameter Optimization for an Optical Navigation Sensor Based on the Well Capacity Adjusting Scheme

Contact Info

Product

Resources

About