Low-Contrast Video Image Sensor — Performance and Considerations

SMPTE Journal ◽  
1980 ◽  
Vol 89 (10) ◽  
pp. 717-720 ◽  
Author(s):  
Wayne W. Frame
Keyword(s):  
Image Sensor ◽  
Video Image ◽  
Low Contrast ◽  
Sensor Performance

Influence of Transparent Electrodes on Image Sensor Performance

1985 ◽  
Vol 49 ◽  
Author(s):  
K. Kempter ◽  
H. Wieczrek ◽  
M. Hoheisel
Keyword(s):  
Response Times ◽  
Image Sensor ◽  
Image Sensors ◽  
Transparent Electrodes ◽  
Sensor Performance ◽  
Decay Times ◽  
Sensor Cell ◽  
Photocurrent Decay

AbstractThe short response times required for image sensors demand blocking contacts at the sensor cell. It was found that the junctions between transparent electrodes (ITO or a thin palladium film) and the metallic back electrode with a-Si:H form blocking contacts yielding photocurrent decay times of the order of some microseconds. The two different time regimes observed for the decay are interpreted as being limited by the drift and the release of holes respectively.

Degradation mechanism of star sensor performance caused by radiation damage of CMOS image sensor

2020 ◽  
Vol 49 (5) ◽  
pp. 20190555
Author(s):  
冯婕 Jie Feng ◽  
李豫东 Yudong Li ◽  
文林 Lin Wen ◽  
郭旗 Qi Guo
Keyword(s):  
Radiation Damage ◽  
Degradation Mechanism ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Star Sensor ◽  
Sensor Performance

USB video image controller used in CMOS image sensor

2002 ◽  
Author(s):  
Wenxuan Zhang ◽  
Yuxia Wang ◽  
Hong Fan
Keyword(s):  
Cmos Image Sensor ◽  
Image Sensor ◽  
Video Image

Calibration Empowered Minimalistic Multi-Exposure Image Processing Technique for Camera Linear Dynamic Range Extension

2020 ◽  
Vol 2020 (7) ◽  
pp. 213-1-213-7
Author(s):  
Nabeel. A. Riza ◽  
Nazim Ashraf
Keyword(s):  
Image Processing ◽  
Dynamic Range ◽  
Image Sensor ◽  
Processing Technique ◽  
Range Extension ◽  
Image Processing Technique ◽  
Linear Dynamic Range ◽  
Low Contrast ◽  
Linear Dynamic ◽  
Cmos Sensor

Proposed for the first time is a novel calibration empowered minimalistic multi-exposure image processing technique using measured sensor pixel voltage output and exposure time factor limits for robust camera linear dynamic range extension. The technique exploits the best linear response region of an overall nonlinear response image sensor to robustly recover via minimal count multi-exposure image fusion, the true and precise scaled High Dynamic Range (HDR) irradiance map. CMOS sensor-based experiments using a measured Low Dynamic Range (LDR) 44 dB linear region for the technique with a minimum of 2 multi-exposure images provides robust recovery of 78 dB HDR low contrast highly calibrated test targets.

Design of the Video Image Acquisition System Based on ADSP-BF561

2012 ◽  
Vol 461 ◽  
pp. 707-711
Author(s):  
Qing Hui Wang ◽  
Hua Ping Xue
Keyword(s):  
Image Acquisition ◽  
Image Sensor ◽  
Video Image ◽  
Acquisition System ◽  
Test Results ◽  
Input Source ◽  
Image Acquisition System ◽  
Video Input ◽  
Image Compression Algorithm ◽  
Transmission Test

This Article design a video image acquisition system implementations which is based on ADI Corporation Blackfin561 DSP , using OV7660 CMOS image sensor for the video input source and advanced JPEG2000 image compression algorithm under the operate system of the uClinux. It achieves a video image acquisition, processing and transmission. Test results show that the PC side you can see clearer images.

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