A two-step adc architecture for high dynamic range and high sensitivity image sensor

Author(s):  
Shengyou Zhong ◽  
Wenbiao Mao ◽  
Mei Zou ◽  
Jiqing Zhang ◽  
Nan Chen ◽  
...  
Lab on a Chip ◽  
2017 ◽  
Vol 17 (24) ◽  
pp. 4231-4242 ◽  
Author(s):  
Takashi Anazawa ◽  
Motohiro Yamazaki

Fluorescence from four emission points is collimated by four lenses, split into four-color fluxes by four dichroic mirrors, and directly input into the image sensor.


2015 ◽  
Vol 15 (2) ◽  
pp. 661-662 ◽  
Author(s):  
Xinyuan Qian ◽  
Hang Yu ◽  
Shoushun Chen ◽  
Kay Soon Low

1998 ◽  
Vol 179 ◽  
pp. 49-55
Author(s):  
T.A. McKay

The introduction of of Charge Coupled Devices (CCDs) in the middle 1970s provided astronomy with nearly perfect (linear, high-sensitivity, low-noise, high dynamic-range, digital) optical detectors. Unfortunately, restrictions imposed by CCD production and cost has typically limited their use to observations of relatively small fields. Recently a combination of technical advances have made practical the application of CCDs to survey science. CCD mosaic cameras, which help overcome the size restrictions imposed by CCD manufacture, allow electronic access to a larger fraction of the available focal plane. Multi-fiber spectrographs, which couple the low-noise, high QE performance of CCDs with the ability to observe spectra for many objects at once, have improved the spectroscopic efficiency of telescopes by factors approaching half a million. An improved understanding of image distortion gives us telescopes on which we expect sub-arcsecond images a large fraction of the time. Finally, and perhaps most important, the performance of computer hardware continues to advance, to the point where analysis of multi-terabyte datasets, while still daunting, is at least conceivable.


Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 213 ◽  
Author(s):  
Yan Liu ◽  
Bingxue Lv ◽  
Wei Huang ◽  
Baohua Jin ◽  
Canlin Li

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.


Sign in / Sign up

Export Citation Format

Share Document