High-frame frequency imaging system of large area CMOS image sensor

2019 ◽  
Vol 27 (5) ◽  
pp. 1167-1177
Author(s):  
宁永慧 NING Yong-hui ◽  
刘 辉 LIU Hui ◽  
赵庆磊 ZHAO Qing-lei ◽  
郭汉洲 GUO Han-zhou
2011 ◽  
Vol 393-395 ◽  
pp. 131-134
Author(s):  
Wei Ling Wang

A high-definition imaging and processing system is presented, which consists of a color CMOS image sensor, SRAM, CPLD and DSP. The CPLD implements the logic and timing control to the system. SRAM stores the image data, and DSP controls the image acquisition system through the SCCB. The timing sequence of the CMOS image sensor OV9620 is analyzed. The imaging part and the high speed image data memory unit are designed. The hardware design of the imaging system and processing algorithm are given. Because the CMOS digital cameras use color filter arrays to sample different spectral components, such as red, green, and blue, at the location of each pixel only one color sample is taken, and the other colors must be interpolated from neighboring samples. We use the edge-oriented adaptive interpolation algorithm for the edge pixels and bilinear interpolation algorithm for the non-edge pixels to improve the visual image quality. This method can get high processing speed, decrease the computational complexity, and effectively preserve the image edges.


2016 ◽  
Author(s):  
H. Takehara ◽  
K. Osawa ◽  
H. Takehara ◽  
T. Noda ◽  
K. Sasagawa ◽  
...  

2012 ◽  
Author(s):  
Mei Yan ◽  
Xiwei Huang ◽  
Qixiang Jia ◽  
Revanth Nadipalli ◽  
Tongxi Wang ◽  
...  

Author(s):  
Changmiao Hu ◽  
Yang Bai ◽  
Ping Tang

We present a denoising algorithm for the pixel-response non-uniformity correction of a scientific complementary metal–oxide–semiconductor (CMOS) image sensor, which captures images under extremely low-light conditions. By analyzing the integrating sphere experimental data, we present a pixel-by-pixel flat-field denoising algorithm to remove this fixed pattern noise, which occur in low-light conditions and high pixel response readouts. The response of the CMOS image sensor imaging system to the uniform radiance field shows a high level of spatial uniformity after the denoising algorithm has been applied.


Author(s):  
Changmiao Hu ◽  
Yang Bai ◽  
Ping Tang

We present a denoising algorithm for the pixel-response non-uniformity correction of a scientific complementary metal–oxide–semiconductor (CMOS) image sensor, which captures images under extremely low-light conditions. By analyzing the integrating sphere experimental data, we present a pixel-by-pixel flat-field denoising algorithm to remove this fixed pattern noise, which occur in low-light conditions and high pixel response readouts. The response of the CMOS image sensor imaging system to the uniform radiance field shows a high level of spatial uniformity after the denoising algorithm has been applied.


Sign in / Sign up

Export Citation Format

Share Document