scholarly journals A New Auto Exposure System to Detect High Dynamic Range Conditions Using CMOS Technology

Author(s):  
Quoc Kien ◽  
Se-Hwan Yun ◽  
Suki Kim
2015 ◽  
Vol 25 (03) ◽  
pp. 1640019 ◽  
Author(s):  
Daniel Arbet ◽  
Gabriel Nagy ◽  
Martin Kováč ◽  
Viera Stopjaková

In this paper, a fully differential difference amplifier (FDDA) designed in 0.35[Formula: see text][Formula: see text]m CMOS technology is presented. The proposed amplifier reaches high dynamic range (DR) and low input referred noise. Comparison of noise performance of the proposed FDDA to an ordinary differential amplifier has been performed. Achieved results prove that the developed amplifier circuit can be advantageously used in applications that require a fully differential signal. Then, simulation results have been verified by the measurement of prototyped chips. In our work, the proposed amplifier was experimentally employed in the analog frontend of the readout interface (RI) for a Micro-Electro-Mechanical-Systems (MEMS) capacitive microphone.


2020 ◽  
Vol 3 (2) ◽  
pp. 6
Author(s):  
Yunfei Bai

An Auto-Exposure (AE) algorithm based on image big data and information entropy is proposed. On the basis of the traditional algorithm for automatic exposure adjustment based on image brightness, image big data analysis is introduced for the first time. Through the combination of ambient luminance evaluation and image information entropy, the dimension of information acquisition of the automatic exposure system is improved, thus improving the image effect and scene adaptability of the camera. Especially in high dynamic range scenes, compared with the traditional algorithm, the effect is significantly improved. 


Author(s):  
Cheng Mao ◽  
Xiangshun Kong ◽  
Haowen Ma ◽  
Limin Zhang ◽  
Feng Yan ◽  
...  

1986 ◽  
Vol 133 (1) ◽  
pp. 26
Author(s):  
J. Mellis ◽  
G.R. Adams ◽  
K.D. Ward

2009 ◽  
Vol 35 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Ke-Hu YANG ◽  
Jing JI ◽  
Jian-Jun GUO ◽  
Wen-Sheng YU

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