Method for self-adaption amalgamation of multi-sensor image based on non-lower sampling profile wave

Abstract

The invention discloses a multi-sensor image adaptive fusion method based on non-lower sampling contourlet, which mainly aims at solving the problem that the existing image fusion method easily causes distortion in fused images. The fusion process comprises the steps that: the source images are respectively subject to a non-lower sampling contourlet decomposition to obtain low pass subbands and high-frequency directional subbands of the source images in various scales; the Fibonacci method is applied to the obtained low pass subband to find out the optimal low-frequency subband fusion weight; a fusion is adaptively carried out by utilizing the optimal low-frequency subband fusion weight to obtain the low pass subband of the fused image; a fusion is conducted by hiring the high-frequency fusion formula to fuse the high-frequency directional subbands of the source image in various scales so as to obtain the high-frequency directional subbands of the image in various scales; finally, an NSCT inverse transformation is applied to the low pass subbands and the high-frequency directional subbands of the image to be fused to obtain the fused image. The method has the advantages of smoothness, clarity and rich detailed information of the fused image, and thus can be applied to the pre-treatment of remote sensing images and aerial images.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for self-adaptive fusion of multi-sensor images by using non-subsampled contourlets. This method can be used for preprocessing of remote sensing images and aerial images. Background technique [0002] Multi-sensor image fusion is an important branch of data fusion. The image data acquired by various single sensors has obvious limitations and differences in geometry, spectrum, time and space resolution, etc., so it is difficult to meet actual needs by using only one sensor image data, especially in future wars , The electromagnetic environment will be extremely complex. Whether it is air combat, naval warfare, land warfare or even a three-dimensional war combining land, sea and air, it will increasingly rely on various sensor devices. In order to have a more comprehensive, clear, and accurate understanding of the observation target, people are eager to seek a t...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, that is, to avoid the problem that distortion is easily introduced into the fused image due to the simple use of a transformation-based method, and proposes a multi-sensor image adaptive fusion method based on non-subsampling contourlet , to improve the quality of the fused image

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