Method and device for encoding spatiotemporal signals

Abstract

Embodiments of the present invention provide a method and device for encoding space-time signals. The method includes: collecting the spatio-temporal signals of each local spatial position in the monitoring area, and accumulating the spatio-temporal signals according to time to obtain the signal cumulative intensity value; transforming the signal cumulative intensity value through a filter, and outputting when the transformed result exceeds a specific threshold Pulse signal; arrange the pulse signals corresponding to the local spatial positions into a sequence according to time, and obtain the pulse sequence expressing the local spatial position signal and its change process; arrange the pulse sequences of all local spatial positions into a pulse sequence array according to the spatial position relationship , as the encoding of the dynamic spatio-temporal signal of the monitored area. The embodiment of the present invention performs pulse coding in the time domain first, and then performs spatial coding according to the spatial position, fully retains the time domain and spatial domain information, not only can reconstruct the static image at any time, but also retains the fine motion of the high-speed moving scene process.

Description

technical field [0001] The present invention relates to the technical field of information coding, in particular to a method and device for coding space-time signals. Background technique [0002] The form that exists in a certain time and space is the source of information. For example, the propagation of light in space forms a dynamic image, the flow of a large number of water molecules produces ocean information, and the dynamic movement of air molecules and other floating objects forms climate information. As far as dynamic images are concerned, humans and creatures perceive the world by capturing photons through their eyes. Modern cameras use CCD (Charge-coupled Device, charge-coupled device) or CMOS ((Complementary Metal Oxide Semiconductor, Complementary Metal Oxide Semiconductor) to capture photons to record The dynamically changing world produces a large amount of image and video data. [0003] Traditional methods of expressing moving images are two-dimensional ima...

AI Technical Summary

Problems solved by technology

However, such a video frame rate cannot represent faster-changing physical phenomena, so high-frequency cameras have appeared, and their frame rates can reach 1,000 frames per second or even 10,000 frames or even higher. The problem brought about is the large amount of data. As the scale increases, the corresponding collection and processing circuit design is expensive or even impossible. More importantly, the increase in the frame rate means that the exposure time of a single frame is reduced, and the exposure of a single frame image collected is seriously insufficient. The way to make up for it is to increase pixel size, which in turn brings about a reduction in spatial resolution

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