Video compression collecting system and method

Abstract

The invention relates to a video compression collecting system and method. The video compression collecting system is used for imaging scenery on a modulation face of a passive light signal modulator through an objective, a high-precision displacement device is used for enabling the passive light signal modulator to generate a modulation effect with precise displacement and continuous conversion, video signals of the scenery are converted and modulated through the passive light signal modulator, and then integration and collection are conducted on the video signals through an area array detector. Compression image signals collected by the area array detector can be reconstructed, and original video signals of the scenery can be obtained. According to the video compression collecting method, an optical compression means is directly used for achieving parallel compression and collection of video data, and then original video data are reconstructed in a high-fidelity mode. According to the method, the video data collecting amount can be compressed in a large rate mode, the data management burden of video collection is relieved, and the method is particularly suitable for collecting high-resolution and high-frame frequency video signals.

Description

technical field [0001] The invention relates to a video compression imaging device and a video compression collection method, in particular to a video compression collection system and a video compression collection method. Background technique [0002] The application development of remote sensing imaging, machine vision, biological imaging and many other fields has put forward new requirements for the continuous acquisition technology of high frame rate and high resolution images. In the past ten years, with the continuous improvement of detector performance and image acquisition technology, the number of pixels in a single image of a digital camera has moved from the "mega" (million) level to the "giga" (billion) level. The frame rate has increased from 100 frames per second to 1000 frames per second to 10,000 frames per second, which enables the data rate of video obtained by high-frequency acquisition of large array images to reach the order of "Ai" (ten billion) pixels...

AI Technical Summary

Problems solved by technology

However, the existing compressed imaging technology has the following defects: 1. The current compressed imaging technology is mainly used to realize the compression of imaging information in the spatial domain or frequency domain, but has not yet achieved the compression of information in the time dimension, which makes the existing Compressed imaging technology can only be used to collect discrete images, and cannot achieve continuous video acquisition. It is difficult to meet the high frame rate, especially the ultra-high frame rate video acquisition needs of existing applications; 2. Existing compressed imaging devices rely on space Optoelectronic devices such as optical modulators and digital micromirror devices can preprocess the optical information of the scene. The site selection and display control of the above-mentioned area array devices require a lot of control information. The reduction effect of the technology itself on the amount of data collection, when the device area array is large and the number of pixels is large, the above-mentioned loss effect becomes more obvious; 3. The drive and display of the photoelectric device of the existing compression device increases the power of the system to a large extent overhead, which limits the use of existing compressed imaging technology to application platforms with limited power (such as remote sensing platforms, field engineering vehicles, etc.); 4. When using existing compressed imaging technology to image moving targets, it is difficult to Effective motion compensation is carried out in the motion state, and the obtained image has motion blur, which is not conducive to the scene shooting of moving objects such as space object detection, product pipeline online monitoring, and biological transient phenomena.

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