An unmanned aerial vehicle airborne image defogging method and device

Abstract

The invention relates to an unmanned aerial vehicle airborne image defogging method and device. The method comprises the steps that firstly, according to the airborne information processing requirement of an unmanned aerial vehicle, an airborne video acquisition module completes image interlacing or line-by-line processing; Secondly, performing defogging grade analysis on the acquired video imagedata in an embedded system, and calculating a defogging feedback adjustment parameter; Secondly, parameterization analysis is carried out through a feedback control module according to the fog-containing level, a defogging feedback adjustment parameter is obtained, a defogging parameter of a defogging processing module is adjusted, and defogging processing work of the image is completed; And finally, finishing video data compression processing on the defogged image data through a video compression module, and transmitting the defogged image data to an airborne information processing port. Theimage defogging processing is carried out by utilizing the image defogging module, the feedback control module and the embedded system, so that the design complexity and the power consumption of the system can be effectively reduced, and meanwhile, the flexibility of system application is improved.

Description

technical field [0001] The invention belongs to the technical field of airborne video image processing, and in particular relates to a method and device for defogging an image of an unmanned aerial vehicle. Background technique [0002] In UAV earth observation technology, it is necessary to use airborne image acquisition equipment to capture relatively clear image data of the ground area of ​​interest. Due to the influence of clouds and fog in the air, the quality of images acquired by airborne image acquisition equipment will be degraded. It is necessary to study a method and device for defogging UAV airborne images that are simple and effective. Currently, most of the known UAV airborne image defogging methods and devices use digital signal processors (DSP) and field programmable gate arrays (FPGA) for processing. Document 1 "Li Zhiyong, Dai Dehui, Wei Zhe, DSP-Based Parallel Processing Method for Video Dehazing, Electronic Devices, 2018, 41(30):776-780" uses a general-p...

AI Technical Summary

Problems solved by technology

These two image hardware devices use DSP and FPGA hardware platforms to implement complex defogging algorithms, and use hardware to implement image processing algorithms to perform image enhancement and other processing on images, which will cause partial information loss in the image and distort the image, and the entire system needs to be designed complexly. Timing, logic functions and peripheral interface blocks

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