scholarly journals Automotive 3.0 µm Pixel High Dynamic Range Sensor with LED Flicker Mitigation

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1390
Author(s):  
Minseok Oh ◽  
Sergey Velichko ◽  
Scott Johnson ◽  
Michael Guidash ◽  
Hung-Chih Chang ◽  
...  
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Image Sensor ◽  
Image Sensors ◽  
Pattern Noise ◽  
Measured Change ◽  
High Dynamic ◽  
White Balancing ◽  
Visual Range ◽  
Dark Signal

We present and discuss parameters of a high dynamic range (HDR) image sensor with LED flicker mitigation (LFM) operating in automotive temperature range. The total SNR (SNR including dark fixed pattern noise), of the sensor is degraded by floating diffusion (FD) dark current (DC) and dark signal non-uniformity (DSNU). We present results of FD DC and DSNU reduction, to provide required SNR versus signal level at temperatures up to 120 °C. Additionally we discuss temperature dependencies of quantum efficiency (QE), sensitivity, color effects, and other pixel parameters for backside illuminated image sensors. Comparing +120 °C junction vs. room temperature, in visual range we measured a few relative percent increase, while in 940 nm band range we measured 1.46x increase in sensitivity. Measured change of sensitivity for visual bands—such as blue, green, and red colors—reflected some impact to captured image color accuracy that created slight image color tint at high temperature. The tint is, however, hard to detect visually and may be removed by auto white balancing and temperature adjusted color correction matrixes.

A High Dynamic Range CMOS Image Sensor With Dual-Exposure Charge Subtraction Scheme

2015 ◽  
Vol 15 (2) ◽  
pp. 661-662 ◽  
Author(s):  
Xinyuan Qian ◽  
Hang Yu ◽  
Shoushun Chen ◽  
Kay Soon Low
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Subtraction Scheme ◽  
High Dynamic

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 Anti-Shake HDR Imaging Using RAW Image Data

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 213 ◽  
Author(s):  
Yan Liu ◽  
Bingxue Lv ◽  
Wei Huang ◽  
Baohua Jin ◽  
Canlin Li
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Image Sensor ◽  
Image Sequences ◽  
Reference Image ◽  
Imaging Method ◽  
Camera Motion ◽  
Range Image ◽  
Real Scene ◽  
High Dynamic

Camera shaking and object movement can cause the output images to suffer from blurring, noise, and other artifacts, leading to poor image quality and low dynamic range. Raw images contain minimally processed data from the image sensor compared with JPEG images. In this paper, an anti-shake high-dynamic-range imaging method is presented. This method is more robust to camera motion than previous techniques. An algorithm based on information entropy is employed to choose a reference image from the raw image sequence. To further improve the robustness of the proposed method, the Oriented FAST and Rotated BRIEF (ORB) algorithm is adopted to register the inputs, and a simple Laplacian pyramid fusion method is implanted to generate the high-dynamic-range image. Additionally, a large dataset with 435 various exposure image sequences is collected, which includes the corresponding JPEG image sequences to test the effectiveness of the proposed method. The experimental results illustrate that the proposed method achieves better performance in terms of anti-shake ability and preserves more details for real scene images than traditional algorithms. Furthermore, the proposed method is suitable for extreme-exposure image pairs, which can be applied to binocular vision systems to acquire high-quality real scene images, and has a lower algorithm complexity than deep learning-based fusion methods.

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
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