Airborne vision enhancement method and device

Abstract

The invention discloses an airborne vision enhancement method and an airborne vision enhancement device. The method comprises the following steps of: performing histogram statistical analysis on an input digital image to generate an adaptive threshold value, and dividing into different sectors according to the characteristics of a histogram to generate different fusion weight coefficients; performing morphological filtering and edge detection calculation according to the characteristics of different images; and performing vision enhancement on a calculation result according to a video superposition and fusion algorithm. The device comprises a threshold value generation module, a morphological calculation module, an edge detection module and a superposition and fusion module. Compared with the conventional vision enhancement method, the airborne vision enhancement method has the advantages that: superposition and fusion calculation can be adaptively performed for different characteristics of an airborne vision; the method is suitable for hardware implementation; and the airborne vision can be effectively enhanced in real time, and a better visual effect is achieved.

Description

technical field [0001] The invention relates to a scene real-time processing technology, in particular to a scene enhancement technology. Background technique [0002] Poor visibility is a key factor affecting both flight safety and the ability to operate aviation worldwide. Scene augmentation systems improve pilots' situational and spatial awareness by enhancing significant portions of the actual scene, thereby reducing accidents such as controlled flight into terrain (CFIT), loss of control (LOC), runway incursions (RI), etc. With the increasing demand for video processing bandwidth in avionics systems, the image sources that need to be fused and calculated are also developing to various types of sensors (such as radar, infrared, and airborne cameras, etc.). Due to different imaging principles, any single image The data cannot fully reflect the characteristics of the target object, and has a certain range of applications and limitations. However, the visual enhancement te...

AI Technical Summary

Problems solved by technology

[0007] In view of the limitations of the prior art, if the algorithm is not selected and optimized according to the characteristics of the airborne video image, and the data characteristics of different image sensors are not comprehensively considered for adaptive video superposition and fusion processing, the purpose of the present invention is to provide a Airborne scene enhancement method, which uses adaptive scene enhancement real-time processing algorithm to improve the visual effect, improve the pilot's ability to perceive the situation and space, and reduce the occurrence of flight accidents in low visibility conditions

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