Image fusion method, system and device

Abstract

The invention belonging to the technical field of image processing discloses an image fusion method, system and device. The method comprises: performing smoothing filtering processing on N source images separately to obtain base layer images corresponding to the N source images; carrying out difference processing on the N source images and the corresponding base layer images respectively to obtaincorresponding detail layer images; according to the N base layer images, constructing weight maps corresponding to the N base layer images; carrying out pyramid decomposition and weighted averaging on the N base layer images and corresponding weight maps respectively to obtain a fusion result of each base layer image after decomposition; and reconstructing the fusion result of each base layer image after decomposition to obtain a fusion image of the N source images. Therefore, the complexity of the algorithm is reduced and a halo phenomenon of the fused image is avoided.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image fusion method, system and equipment. Background technique [0002] Image fusion is a technology that fuses information from two or more images of the same scene from the same or different types of sensors to obtain a composite image. [0003] At present, pyramid is one of the most widely used image fusion methods. The realization process of image fusion by using pyramid decomposition is as follows: firstly, a weight map is established according to three weight factors such as contrast factor, saturation factor and exposure factor; Multi-frame source images and weight maps are pyramidally decomposed, and the decomposition maps are weighted and averaged; finally, the fused pyramid images are reconstructed. [0004] However, the defects of the pyramidal image fusion method are as follows: First, when using the pyramidal image fusion method, the number of l...

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Problems solved by technology

[0004] However, the defects of the pyramidal image fusion method are as follows: First, when using the pyramidal image fusion method, the number of layers that needs to be decomposed generally needs to be more than 5 layers to achieve a good fusion effect, which makes the complexity and calculation amount of the algorithm relatively high. Big

The second is that since the weight map is constructed according to the weight factor, the relationship between light and dark in the source image will be reversed after the fusion process, and the halo phenomenon will appear in the obviously dark area on the edge of the bright area, which will seriously affect Fusion Image Effects

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