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Method and device for multi-focus image fusion based on compressed sensing

A technology of multi-focus image and fusion method, which is applied in the field of image signal processing and can solve problems such as slow convergence speed

Inactive Publication Date: 2013-06-19
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

For example, the Maximum Selection (MS) criterion, the Standard Deviation Weighted Average (SDWV) criterion, the Entropy Metrics Weighted Average (EMWV) criterion, and the Simple Weighted Average (SWV) criterion Criterion and some CS-based multi-focus image fusion methods have been proposed, but these fusion criteria have shortcomings
In addition, although the augmented Lagrangian method (Augmented Lagrangian Method, ALM) can effectively solve the l1-minimization problem, its convergence speed is too slow

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  • Method and device for multi-focus image fusion based on compressed sensing
  • Method and device for multi-focus image fusion based on compressed sensing
  • Method and device for multi-focus image fusion based on compressed sensing

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Embodiment Construction

[0065] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0066] The multi-focus image fusion device based on compressed sensing of the present invention includes a compressed sampling module, a fusion module and an image reconstruction module; the compressed sampling module is used to compress and sample the image to be fused to obtain the observation vector of the image to be fused; The fusion module is used to fuse the observation vectors of two images to be fused to obtain a fusion observation vector; the image reconstruction module is used to perform image reconstruction on the fusion observation vector to obtain a fusion image.

[0067] As mentioned in the background technology section, CS-based image fusion methods have two key technologies: (1) designing appropriate fusion criteria to fuse observation vectors; (2) designing a reconstruction algorithm to solve l 1 - Minimize the problem. A good fusion ...

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Abstract

The invention discloses a method for multi-focus image fusion based on compressed sensing, and belongs to the technical field of image signal processing. The method includes the steps: firstly, respectively sampling two images to be fused in a compressed manner to obtain observation vectors of the two images; secondly, fusing the observation vectors of the two images to obtain fusion observation vectors; and thirdly, reconstructing a fused image of the two images to be fused by the aid of the fusion observation vectors. The observation vectors are fused by the aid of ALEM (adaptive local energy measure) fusion rules, and the fused image is reconstructed by the aid of an FCLALM (fast continuous linear augmentation Lagrangian method). The invention further discloses a device for multi-focus image fusion based on compressed sensing. Compared with the prior art, the method and the device have the advantages that higher image fusion quality can be achieved, and signal-to-noise ratio and convergence speed are higher.

Description

technical field [0001] The invention discloses a multi-focus image fusion method and device based on compressed sensing, belonging to the technical field of image signal processing. Background technique [0002] When imaging a certain scene, due to the limited focus range of the optical system, it is difficult for general optical imaging systems to form clear images of objects at different focal lengths in the same scene. When the focus of the imaging system is focused on an object, it can form a clear image on the image plane. At this time, the images formed by the objects at other positions on the image plane will show different degrees of blur. Therefore, it is difficult to obtain clear images of all objects in the same scene by only relying on the imaging system. In order to reflect the information of a certain scene more comprehensively and truly, it is hoped to obtain an image in which all objects in the scene are clear. One way to solve this problem is to focus on ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 杨真真杨震
Owner NANJING UNIV OF POSTS & TELECOMM
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