Dynamic vision sensor output event flow noise reduction method

Abstract

The invention discloses a dynamic vision sensor output event flow noise reduction method, relates to the field of image sensors, and overcomes the defects that an existing conventional noise reductionmethod needs relatively high operational capability, is complex, relatively long in time delay, incapable of adjusting solidification parameters and the like. Meanwhile, anthe algorithm has the problems that embedded transplantation is not facilitated, space information is lost due to incomplete utilization of events in the space field, and the like, and the. The method comprises the following steps: performings statistics and judgment on the number and positions of the events in the space-time neighborhood of the newly arrived event to obtain whether the event is a noise event or not. Compared with an existingthe conventional method, the method disclosed in the invention has the advantages of simple calculation, adjustable parameters and the like. According to the method, future events do not need to participate in calculation and judgment, and delay events are reduced. And the n Newly arrived events are filtered in sequence, data is not processed in a frame form, and time information and resolution are better reserved. By judging the spatial position, flicker noise occurring at high frequency can be eliminated.

Description

technical field [0001] The invention relates to the field of image sensors, in particular to a noise reduction method for dynamic visual sensor image data. Background technique [0002] At present, traditional image sensors such as CCD and CMOS sensors have been widely used in daily life. In short, the CCD image sensor mainly converts and transfers the signal charge through the photosensitive element array and the charge transfer device, thereby converting the light signal into an analog signal; the CMOS image sensor integrates the pixel containing the photodiode on a single silicon chip to integrate the optical The signal is converted to a digital signal. Both of the aforementioned sensors shoot at a specific frame rate, resulting in a series of frame images. However, the frame image obtained in this way contains a lot of redundant information and requires a certain integration time, making it difficult for the camera to capture fast-moving targets that are prone to image...

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Problems solved by technology

[0012] The present invention solves the defects that the existing noise reduction method needs high computing power and complicated computing method, the time delay is large, or the curing parameters cannot be adjusted.

At the same time, the algorithm is not conducive to embedded transplantation, and the events in the space field are not fully utilized, resulting in the loss of space information and other problems. A noise reduction method for dynamic visual sensor image data is provided.

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