Imaging method and device of bionic pulse camera, equipment and storage medium

Abstract

The invention discloses an imaging method and device of a bionic pulse camera, equipment and a storage medium. The method comprises the following steps: reconstructing a basic image sequence according to a preset pulse camera imaging algorithm and a continuous pulse array within a preset time period; calculating a motion vector at any pixel position at any moment from the basic image sequences to form a motion field between the basic image sequences; according to the motion field and the pulse array, calculating a contribution weight of an imaging grid target imaging point to each pulse; and reconstructing a high-resolution image sequence according to the contribution weight of the target imaging point of the imaging grid to each pulse. According to the method provided by the embodiment of the invention, the method can be applied to a high-speed motion scene, motion details of an object in the scene can be clearly reconstructed, and the obtained image not only avoids motion blur, but also has a relatively high signal-to-noise ratio.

Description

technical field [0001] The invention relates to the technical field of computational imaging, in particular to an imaging method, device, equipment and storage medium of a bionic pulse camera. Background technique [0002] Traditional digital cameras usually shoot and image at a fixed frame rate, and each frame of image is generated in the following way: within a certain exposure time window, each pixel of the image sensor performs photoelectric conversion and accumulation of incident light, and after exposure, the analog-to-digital Convert to get the total amount of light for this pixel. Usually the length of the exposure time is determined by the light intensity. When the light is weak, it is often necessary to increase the exposure time to suppress the influence of dark current noise. This method cannot effectively image high-speed objects, which often leads to blurred images of high-speed moving objects. In recent years, the unique neuronal connection structure of the ...

AI Technical Summary

Problems solved by technology

Although this algorithm can describe the outline of high-speed motion, the reconstruction signal is usually not stable enough, and the pixel value has obvious fluctuations in the time direction; A feature to estimate the average light intensity in a time window

Although this algorithm improves the signal-to-noise ratio of the reconstructed image to a certain extent, when the object is moving, the average in the time window will cause motion blur in the reconstructed image

[0004] Therefore, the image reconstruction method using pulse camera in the prior art still cannot obtain clear images in high-speed motion scenes

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