High-speed image acquisition system and high-speed image acquisition method with ferroelectric liquid crystal light valve

Abstract

The invention provides a high-speed image acquisition system, a high-speed image acquisition method and a vehicle image acquisition system with a ferroelectric liquid crystal light valve, wherein theimage acquisition system comprises an optical lens unit, a CMOS sensor, an image processing system, and a ferroelectric liquid crystal modulation light valve and a light valve control unit arranged infront of the photosensitive array of the CMOS sensor; the light valve control unit is coupled to the ferroelectric liquid crystal modulation light valve, and the exposure time of the photosensitive array is controlled by controlling the ferroelectric liquid crystal modulation light valve. The invention achieves the goal of directly modulating the exposure time of the CMOS photosensitive array byhigh-speed switching control of the ferroelectric liquid crystal modulation light valve, thereby realizing consistency of data reading, preventing image distortion, and improving phenomena such as blurry shooting or motion streak.

Description

technical field [0001] The invention relates to the technical field of image acquisition and processing, in particular to image acquisition of high-speed moving objects, and in particular to an image acquisition anti-distortion method and system suitable for high-speed moving objects. Background technique [0002] At present, CMOS image sensors are used for static depth-of-field images, such as static face scanning and recognition, fixed-point monitoring, etc., and usually can get better depth-of-field images, but for high-speed moving targets such as high-speed moving cars, especially Yes, in recent years, there is a strong demand for auto-driving, which requires a faster imaging speed per frame, and puts forward higher requirements for imaging angle of view, image superposition processing, and anti-interference ability under the same spectrum. When acquiring dynamic images, due to The scanning time of COMS photosensitive exposure array is poor, while the exposure time of C...

AI Technical Summary

Problems solved by technology

[0002] At present, CMOS image sensors are used for static depth-of-field images, such as static face scanning and recognition, fixed-point monitoring, etc., and usually can get better depth-of-field images, but for high-speed moving targets such as high-speed moving cars, especially Yes, in recent years, there is a strong demand for auto-driving, which requires a faster imaging speed per frame, and puts forward higher requirements for imaging angle of view, image superposition processing, and anti-interference ability under the same spectrum. When acquiring dynamic images, due to The scanning time of COMS photosensitive exposure array is poor, while the exposure time of CMOS is continuous, which makes the read data delay and cause image distortion. This distortion will lead to image distortion, resulting in unsatisfactory image shooting effects, such as blurred picture or motion smearing, etc. Phenomenon

[0003] Various solutions to this image distortion problem have been proposed in the prior art, such as using electronic compensation or electronic valve post-processing operations to process data reading and compensate for image distortion. However, due to the high integration and complex structure of CMOS image sensors, in each Amplifiers are integrated on each pixel and most of the signal processing circuits are produced on the same chip as CMOS, such as video signal processing and still image processing, so that the cost and effect of solving motion distortion in this way cannot reach the expected ideal effect. At the same time, we Seeing that the compensation calculation algorithm itself is also complex, it also causes unsatisfactory results

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