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Multi-focus Image Fusion Method Based on Adaptive Sparse Representation

A multi-focus image, sparse representation technology, applied in image enhancement, image data processing, instruments, etc., can solve the problem of high computational complexity, achieve the effect of overcoming information loss, overcoming high computational complexity, and good fusion effect

Active Publication Date: 2017-01-11
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned shortcomings of the existing sparse representation image fusion technology with high computational complexity, and propose a multi-focus image fusion method based on adaptive sparse representation to improve the efficiency of sparse representation algorithm fusion images

Method used

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  • Multi-focus Image Fusion Method Based on Adaptive Sparse Representation
  • Multi-focus Image Fusion Method Based on Adaptive Sparse Representation
  • Multi-focus Image Fusion Method Based on Adaptive Sparse Representation

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Embodiment

[0030] refer to figure 1 , a multi-focus image fusion method based on adaptive sparse representation of the present invention, comprising the steps of:

[0031] 1. Use imaging equipment to obtain natural images to be fused with different focal lengths

[0032] The size of the multi-focus natural image to be fused in the embodiment of the present invention is 256×256, and the gray scale range is 0-255.

[0033] 2. Preprocessing the source image

[0034] The registered image to be fused is normalized, and then the source image is divided into blocks by using the sliding window technology with displacement invariant property, and the step size is 1. Assuming that the size of the source image is N×M, select n×n size to block the source images A and B to obtain (N+n-1)×(M+n-1) image sub-blocks.

[0035] 3. Image block classification processing

[0036] According to the structural characteristics of the image to be fused, the image sub-blocks are classified. An image f can be d...

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Abstract

The invention discloses a multi-focus image fusion method based on self-adaption sparse representation. Sub-blocks are classified according to different image structural features of an original image, and therefore the original image can be divided into sameness models, smoothness models and detail models. The sameness models are directly placed in a fusion result image, and image block fusion is conducted on the smoothness models and the detail models through the arithmetic method and the sparse representation method respectively. The multi-focus image fusion method has the advantages that the smoothness models and the detail models can be obtained through segmentation, the number of the image blocks for sparse coding is reduced, and therefore operation time is shortened on the basis that the good subjective effect and the good objective performance indexes of the fused image are ensured.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a multi-focus image fusion method based on adaptive sparse representation. Background technique [0002] As an important branch of image fusion, multi-focus image fusion is being widely used in machine vision, target recognition, digital cameras and other fields. In practical applications, some optical lenses often cannot make multiple targets in the same scene be in the same focus area, so it is necessary to combine the clear models in multiple images to generate an image in which all targets are clear, so as to meet the image quality requirements. The needs of deeper applications. Multi-focus image fusion is an effective way to solve this problem. [0003] Multi-focus fusion images have a lot of redundant information, which can describe a scene more clearly. Traditional fusion methods include wavelet transform, contourlet transform, etc. However, image infor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 陈利霞李子袁华莫建文张彤首照宇欧阳宁赵晖林乐平王学文
Owner GUILIN UNIV OF ELECTRONIC TECH
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