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Multi-exposure image fusion method based on Laplacian pyramid decomposition

A technology of pyramid decomposition and image fusion, applied in image enhancement, image data processing, instruments, etc., can solve the problems of high dynamic range image missing details, lost information compensation, lost image details, etc., to achieve rich details and high definition degree of effect

Inactive Publication Date: 2015-05-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The traditional fusion method based on the Laplacian pyramid loses information such as image details in the process of multi-scale decomposition and reconstruction, and does not compensate for the lost information, so that the final high dynamic range image lacks details, etc. information

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  • Multi-exposure image fusion method based on Laplacian pyramid decomposition
  • Multi-exposure image fusion method based on Laplacian pyramid decomposition
  • Multi-exposure image fusion method based on Laplacian pyramid decomposition

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Embodiment Construction

[0035] The main idea of ​​this new multi-exposure image fusion method is: use the image detail enhancement method to enhance the details of the input image to a certain extent, and offset part of the loss of details caused by the pyramid enlargement and reduction. A new reconstruction method is proposed to enhance the detail and sharpness of the image again. The present invention mainly comprises the following steps:

[0036] A. Select a group of multi-exposure image sequences of the same scene as the input image, and adjust the image size at the same time so that the image size can meet the conditions of pyramid decomposition;

[0037] B. Enhance the details of each input image;

[0038] C. Perform Laplacian pyramid decomposition on the enhanced input image;

[0039] D. Obtain the weight map of the original image;

[0040] E. Use the weight map to fuse the image decomposed in step C;

[0041] F. Pyramid reconstruction.

[0042] The input images selected in step A are ima...

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Abstract

The invention discloses a multi-exposure image fusion method based on Laplacian pyramid decomposition, relating to the field of computer vision and the field of image / video processing; and the research over-emphasizes the image processing. With respect to the disadvantages of the loss of image details during multi-scale decomposition and reconstruction in the traditional fusion method based on the Laplacian pyramid decomposition, the method has the beneficial effects: the details of the input images are strengthened on a certain extent by means of an image detail strengthening method, and the partial loss of the details caused by pyramid mitigation and amplification is counteracted, so that the multi-exposure image fused images contain rich details and higher resolution.

Description

technical field [0001] The invention relates to the fields of computer vision and image / video processing, and the research focuses on image processing. Background technique [0002] Dynamic range refers to the ratio between the maximum and minimum values ​​of a physical quantity. For an actual scene, the dynamic range refers to the ratio of the light radiance of the brightest point to the darkest point in the real scene. The dynamic range covered by the high dynamic range image is very large, which can well reproduce the natural scene, retain the detailed information in the scene, and bring people a realistic visual experience. High dynamic range imaging technology plays an important role in the field of image and video. When a real scene has a high dynamic range, the resulting image will always contain overexposed and underexposed areas, even if the camera is set to the correct exposure. High dynamic range imaging technology can obtain high dynamic range images and make ...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 饶云波江春华程平邵军杨龙配陆霖霖王海涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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