Human perception of fixed pattern noise in pyramidal CMOS image sensor

2004 ◽  
Author(s):  
Faycal Saffih ◽  
Richard I. Hornsey ◽  
Hugh R. Wilson
Keyword(s):  
Human Perception ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Pattern Noise ◽  
Fixed Pattern Noise

scholarly journals A Fixed-Pattern Noise Correction Method Based on Gray Value Compensation for TDI CMOS Image Sensor

Sensors ◽  
2015 ◽  
Vol 15 (9) ◽  
pp. 23496-23513 ◽  
Author(s):  
Zhenwang Liu ◽  
Jiangtao Xu ◽  
Xinlei Wang ◽  
Kaiming Nie ◽  
Weimin Jin
Keyword(s):  
Cmos Image Sensor ◽  
Correction Method ◽  
Image Sensor ◽  
Pattern Noise ◽  
Fixed Pattern Noise ◽  
Noise Correction

scholarly journals A Highly Linear CMOS Image Sensor Design Based on an Adaptive Nonlinear Ramp Generator and Fully Differential Pipeline Sampling Quantization with a Double Auto-Zeroing Technique

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1046
Author(s):  
Chuangze Li ◽  
Benguang Han ◽  
Jie He ◽  
Zhongjie Guo ◽  
Longsheng Wu
Keyword(s):  
Complementary Metal Oxide Semiconductor ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Frame Rate ◽  
Oxide Semiconductor ◽  
Ramp Generator ◽  
Fully Differential ◽  
Generator Circuit ◽  
Pattern Noise ◽  
Fixed Pattern Noise

For a complementary metal-oxide-semiconductor image sensor with highly linear, low noise and high frame rate, the nonlinear correction and frame rate improvement techniques are becoming very important. The in-pixel source follower transistor and the integration capacitor on the floating diffusion node cause linearity degradation. In order to address this problem, this paper proposes an adaptive nonlinear ramp generator circuit based on dummy pixels used in single-slope analog-to-digital converter topology for a complementary metal-oxide-semiconductor (CMOS) image sensor. In the proposed approach, the traditional linear ramp generator circuit is replaced with the new proposed adaptive nonlinear ramp generator circuit that can mitigate the nonlinearity of the pixel unit circuit, especially the gain nonlinearity of the source follower transistor and the integration capacitor nonlinearity of the floating diffusion node. Moreover, in order to enhance the frame rate and address the issue of high column fixed pattern noise, a new readout scheme of fully differential pipeline sampling quantization with a double auto-zeroing technique is proposed. Compared with the conventional readout structure without a fully differential pipeline sampling quantization technique and double auto-zeroing technique, the proposed readout scheme cannot only enhance the frame rate but can also improve the consistency of the offset and delay information of different column comparators and significantly reduce the column fixed pattern noise. The proposed techniques are simulated and verified with a prototype chip fabricated using typical 180 nm CMOS process technology. The obtained measurement results demonstrate that the overall nonlinearity of the CMOS image sensor is reduced from 1.03% to 0.047%, the efficiency of the comparator is improved from 85.3% to 100%, and the column fixed pattern noise is reduced from 0.43% to 0.019%.

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