Multimodality image fusion method combining multi-scale bilateral filtering and direction filtering

Abstract

The invention belongs to the technical field of information processing and particularly relates to a multimodality image fusion method combining multi-scale bilateral filtering and direction filtering. The invention is used to fuse the images of different sensors of the same scene or the same target. The method comprises the following steps: firstly, the multi-scale bilateral filtering is utilized to decompose each source image and obtain a low-pass image and a series of high-pass images; secondly, direction filtering is performed to the high-pass images to the direction indications of the images, then the low-pass images and the directional sub-band images are separtely fused according to a certain fusion rule to obtain a fused low-pass image and a fused directional sub-band image; and finally, the fused image is obtained through direction filtering reconstruction and inverse multi-scale bilateral filtering. The method of the invention has better fusion effect and is better than the traditional multi-scale geometric analysis method; and the quality of the fused image is greatly increased.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a multi-mode image fusion method combining multi-scale bilateral filtering and directional filtering. Background technique [0002] Image fusion technology is to process multiple images of the same scene or the same target collected by multiple sensors and synthesize them into one image, which is the fusion of visual information in multi-sensor information fusion. It uses the different imaging methods of various imaging sensors to provide complementary information for different images, making the information of the fused image more abundant and able to reflect the scene or target more accurately and reliably. Image fusion technology can improve the spatial and temporal coverage of images, reduce uncertainty, and improve system reliability and robustness. It is an emerging technology that integrates sensors, image processing, signal processing, and artif...

AI Technical Summary

Problems solved by technology

In the previous fusion algorithm, both aspects were involved, but they were not effectively combined, and the importance of local features of the image could not be accurately and reliably measured.

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