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CAS IR Grid
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长春光学精密机械与物... [1]
光电技术研究所 [1]
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OAI收割 [2]
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会议论文 [1]
期刊论文 [1]
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2019 [1]
2005 [1]
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A Content-Adaptive Method for Image Denoising
期刊论文
OAI收割
IEEE Access, 2019, 卷号: 7, 页码: 183222-183235
作者:
Chen, Hao
;
He, Yi
;
Wei, Ling
;
Li, Xiqi
;
Yang, Jinsheng
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/05/06
Image denoising
structural complexity
patch size
patch number
denoising limit
content-adaptive
Measuring the system gain of the TDI CCD remote sensing camera (EI CONFERENCE)
会议论文
OAI收割
Advanced Materials and Devices for Sensing and Imaging II, November 8, 2004 - November 10, 2004, Beijing, China
Ya-xia L.
;
Hai-ming B.
;
Jie L.
;
Jin R.
;
Zhi-hang H.
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浏览/下载:75/0
  |  
提交时间:2013/03/25
The gain of a TDI CCD camera is the conversion between the number of electrons recorded by the TDI CCD and the number of digital units (counts) contained in the CCD image"[1]. TDI CCD camera has been a main technical approach for meeting the requirements of high-resolution and lightweight of remote sensing equipment. It is useful to know this conversion for evaluating the performance of the TDI CCD camera. In general
a lower gain is better. However
the resulting slope is the gain of the TDI CCD. We did the experiments using the Integration Sphere in order to get a flat field effects. We calculated the gain of the four IT-EI-2048 TDI CCD. The results and figures of the four TDI CCD are given.
this is only true as long as the total well depth (number of electrons that a pixel can hold) of the pixels can be represented. High gains result in higher digitization noise. System gains are designed to be a compromise between the extremes of high digitization noise and loss of well depth. In this paper
the mathematical theory is given behind the gain calculation on a TDI CCD camera and shows how the mathematics suggests ways to measure the gain accurately according to the Axiom Tech. The gains were computed using the mean-variance method
also known as the method of photon transfer curves. This method uses the effect of quantization on the variance in the measured counts over a uniformly illuminated patch of the detector. This derivation uses the concepts of signal and noise. A linear fit is done of variance vs. mean