Logic circuit and extraction method for extracting image sharpness information with zero delay in pipeline mode

Abstract

The invention relates to a logic circuit and an extraction method for extracting image sharpness information in a pipeline mode with zero delay, adopting a field programmable gate array (FPGA) as a hardware implementation platform for image processing, and dividing the logic circuit into: pixel coordinate analysis logic circuit , pixel value line buffer logic circuit, image sharpness operation trigger logic circuit, pixel-level sharpness operation logic circuit, image-level sharpness accumulation logic circuit and other 5 parts. Using the timing signal superimposed on the high-definition video source, the coordinate index value of the image pixel is reconstructed in real time for subsequent trigger control logic; through the multi-channel buffer queue method, the image data is regrouped to make the subsequent processing pipeline. The beneficial effects of the invention are: the airborne photoelectric detection system realizes the acquisition of image sharpness information and has the precondition of automatic focus function. Improve the imaging quality, intelligence level, and integration of visible light imaging components.

Description

technical field [0001] The invention belongs to an image processing circuit of an airborne photoelectric detection system, and relates to a logic circuit and an extraction method for extracting image sharpness information in a pipeline mode with zero delay. Background technique [0002] Airborne photoelectric detection systems integrated with visible light imaging devices are often unable to image clearly due to factors such as the adjustment of the field of view of the visible light camera and the distance change of the detected target. The reason for this phenomenon is that the best imaging target surface of the camera lens does not coincide with the photosensitive surface of the CCD, that is, there is no accurate focus. The existing measure is to manually focus once when the system is initialized; during the normal detection process of the system, when the picture is blurred, manually perform focus compensation. The disadvantages of existing measures include heavy relian...

AI Technical Summary

Problems solved by technology

When the operator handles multiple tasks or the distance of the detected target changes drastically, it often delays the timing and even leads to the failure of target tracking

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