Image fusion method for improving image definition

Abstract

The invention discloses an image fusion method for improving the image definition, and the method comprises the following steps: S1, carrying out the preprocessing of a plurality of material images ofthe same target, and selecting two target original images which can be used for image fusion; and S2, performing global binarization processing on the target original image according to a first binarization threshold to obtain a global feature image of the target original image. According to the invention, a local feature image with image details is extracted by combining global binarization analysis and local binarization analysis, and then phase conversion is carried out on the local feature image to carry out fusion position matching; and a fusion algorithm is sequentially executed on thefeature pixel points of the local feature images to achieve detail fusion of the local feature images with low definition so as to improve the definition of overall image fusion, and meanwhile, the local feature images with high definition are reserved so as to reduce unnecessary fusion processes and improve the fusion efficiency.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image fusion method for improving image clarity. Background technique [0002] Image fusion (Image Fusion) is to use a specific algorithm to combine two or more images into a new image. The fusion result can make use of the spatial and temporal correlation and information complementarity of two (or more) images, and make the image obtained after fusion have a more comprehensive and clear description of the scene, which is more conducive to the human eye. Identification and automatic detection of machines. [0003] The data form of image fusion is an image that contains light and shade, color, temperature, distance, and other scene characteristics. These images can be given in one, or one column. Image fusion is the fusion of 2 or more image information into one image, so that the fused image contains more information and can be more convenient for human observation...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an image fusion method for improving image clarity, so as to solve the problem that in the prior art, the fusion algorithm is directly applied to the fusion area for feature structure fusion, and the lack of further detail extraction of the fusion area results in poor fusion effect. good technical questions

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