Ultra-high resolution large area array cmos imaging method

Abstract

The invention provides an ultra-high-resolution large-area array CMOS imaging method, comprising the following steps: the FPGA outputs a driving signal, passes through a fan-out buffer, and enters a CMOS detector; the output signal of the CMOS detector, after being divided by a resistor, Enter high-speed serial AD for analog-to-digital conversion; FPGA receives AD data, performs serial-to-parallel conversion, and then caches it in DDR3; FPGA reads out an image with a resolution of 1920×1080 from DDR3 according to the frame rate of HDMI 1080P, and uses it HDMI 1080P display circuit for output; FPGA reads out images with a resolution of 4096×2160 from DDR3 according to the frame rate of HDMI 4K, and outputs them from the HDMI 4K display circuit; FPGA sends images with a resolution of 12800×12800 according to the timing of CameraLink The image is output by the CameraLink display circuit.

Description

technical field [0001] The invention relates to an ultra-high resolution imaging technology, in particular to an ultra-high resolution large area array CMOS imaging method. Background technique [0002] When the surveillance and strike integrated UAV performs an attack mission, it must first rely on the aerial camera to take pictures of the ground before launching missiles for precise strikes. As the eyes of this system, the resolution of the airborne camera plays a vital role in the accuracy of target recognition and strike accuracy. However, at present, the resolution of aviation airborne cameras at home and abroad is generally low, which makes it impossible to track multiple targets at the same time, or even accurately identify an important target. This is a very serious practical problem in the military field. [0003] Aiming at the problem of low resolution, the current common solution abroad is to use multiple cameras to shoot at the same time. This method requires th...

AI Technical Summary

Problems solved by technology

However, at present, the resolution of aviation airborne cameras at home and abroad is generally low, which makes it impossible to track multiple targets at the same time, or even accurately identify an important target. This is a very serious practical problem in the military field

[0003] Aiming at the problem of low resolution, the current common solution abroad is to use multiple cameras to shoot at the same time. This method requires the support of powerful image stitching and fusion algorithms at the back end, and the integration is low and the development cost is relatively high.

In addition, although there are some ultra-large area array imaging systems with high resolution, due to the huge amount of data to be processed, they can only be output in the form of pictures, and the real-time performance is poor.

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