Image fusion method based on sparse linear system

A linear system and image fusion technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of not considering high-resolution images, hyperspectral image scale inconsistency, etc., to improve the fusion effect, improve the spatial resolution, The effect of good experimental results

Inactive Publication Date: 2013-04-24
ZHEJIANG UNIV
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Problems solved by technology

[0007] In view of this, the main purpose of the present invention is to provide an image fusion method based on self-adaptive decomposition and multi-scale basic form, on the basis of self-adaptive decomposition of images, to solve the problem

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  • Image fusion method based on sparse linear system
  • Image fusion method based on sparse linear system
  • Image fusion method based on sparse linear system

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[0018] The present invention will be further described below in conjunction with accompanying drawings and examples.

[0019] The basic idea of ​​the image fusion method based on self-adaptive decomposition and multi-scale basic forms provided by the present invention is: perform IHS transformation on multi-spectral images, and transform them into IHS space. The sparse linear equation is jointly constructed for the I part of the panchromatic image and the multispectral image, and the panchromatic image is adaptively decomposed to obtain its low-frequency information and high-frequency information. Because the scale of the corresponding low-frequency information is close to that of the multispectral image, the high frequency obtained by it has the least redundant information compared with the multispectral image. For image fusion, the fusion effect of this similar scale is better. Then the high-frequency information of the panchromatic image obtained based on the decomposition ...

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Abstract

The invention relates to the technical field of digital image processing and discloses an image fusion method based on a sparse linear system. The image fusion method based on the sparse linear system includes that a multispectral image conducts integrated heat spreader (HIS) changing so as to obtain luminance information, a full-color image conducts extreme value gaining, and according to the full-color image, a luminance component of the multispectral image and an extreme point of the full-color image, the sparse linear system is constructed. Based on the sparse linear system, an average envelope is gained, and based on the average envelope, high-frequency information is obtained, wherein the high-frequency information is contained in the full-color image, and the multispectral image is out of the high-frequency information. The obtained high-frequency information is injected into a multispectral luminance component so as to obtain the luminance component of a fusion result, the luminance component of the fusion result, and a chromaticity component and a saturation level component of the multispectral image conduct inversed HIS changing, and therefore, the fusion result is obtained. With the image fusion method based on the sparse linear system, fusion effect of a high-resolution full-color image and a low-resolution multispectral image is improved.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an image fusion method based on a sparse linear system. Background technique [0002] Sensor performance has greatly improved due to very large scale integration (VLSI) and very high speed integration (VHSIC), high precision CNC machine tools, computer aided design and manufacturing, and other design and production improvements. Since the 1970s, a new discipline - multisensor data fusion (Multisensor Data Fusion) has developed rapidly. Image fusion (Image Fusion) refers to the combination of two or more images through a certain algorithm to obtain a new image with higher quality. Image fusion is an important branch in the field of data fusion technology, and its research has very important practical significance. A single sensor image or a single image, due to the limitations of physical conditions and the influence of the imaging environment, often cannot prov...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 王浩华谢启伟
Owner ZHEJIANG UNIV
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