Anti-blooming method for image sensor

Abstract

The invention discloses an anti-blooming implementation method for an image sensor. Hardware consists of a microprocessor or programmable logic circuit, a CCD (Charge Coupled Device) front-end signal processor AD9923 and a CCD image sensor ICX274, wherein the microprocessor or programmable logic circuit is used for transmitting data to the CCD front-end signal processor through a serial communication interface; the CCD front-end signal processor is used for transmitting a driving signal to the CCD image sensor under dual control of an original normal light-sensitive driving time sequence and a newly-added blooming-removing driving time sequence; and the CCD image sensor is used for outputting a blooming-removed image signal. The blooming-removing driving time sequence is arranged between original two frames of normal light-sensitive driving time sequences. The method has the advantages of easiness, wide application range, high operability and remarkable effect.

Description

technical field [0001] The invention belongs to the field of digital cameras, in particular to the field of high-definition digital cameras, and relates to a method for anti-halation of an image sensor. Background technique [0002] In the reality that digital cameras are increasingly used in traffic monitoring systems, the problem of halo of vehicle lights at night is becoming more and more prominent. Because the halo of traffic lights at night affects the camera quality of the traffic monitoring system, it brings trouble to traffic management. Although anti-halation technology has been studied a lot, it is difficult to completely solve the problem of halation in CCD imaging. The existing technology is not only ineffective, but also difficult to implement in the production process. The existing technology shows that when the CCD image sensor is sensitive to light, the light-sensing time of all pixels is the same, but the light radiation flux of each pixel point is very di...

AI Technical Summary

Problems solved by technology

Due to the halo of traffic lights at night, the camera quality of the traffic monitoring system is affected, which brings troubles to traffic management

Although a lot of research has been done on anti-halation technology, it is difficult to completely solve the halo problem of CCD imaging

The existing technology is not only ineffective, but also difficult to implement in the production process

The existing technology shows that when the CCD image sensor is sensitive to light, the light-sensing time of all pixels is the same, but the light radiation flux of each pixel point is very different. When the light radiation flux difference between pixels is too large, In order to ensure that the low-brightness pixels generate enough charge, the charge generated by the high-brightness corresponding pixel will be saturated, and the excess charge will overflow into the adjacent pixel unit or vertical shift register, so that the adjacent pixel or the vertical shift passes through the vertical shift register. The pixel unit of the register is sensitive to more light than the actual light radiant flux, resulting in image distortion

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