Multi-focus image fusion method based on contrast pyramid transformation

A multi-focus image and fusion method technology, applied in the field of digital image processing, can solve the problems of affecting the fusion image quality, image contrast reduction, important information loss, etc., to reduce the weakening of image important information, improve contrast, and enhance image information Effect

Active Publication Date: 2017-01-18
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, since most of the energy of the image is stored in the low-frequency domain, this method of directly averaging the low-frequency image fusion and simply using the corresponding pixel value of the high-frequency

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  • Multi-focus image fusion method based on contrast pyramid transformation
  • Multi-focus image fusion method based on contrast pyramid transformation
  • Multi-focus image fusion method based on contrast pyramid transformation

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Embodiment

[0112] In this embodiment, two left-focus images and right-focus images that have been registered at the pixel level are used as source images, and MATLAB R2013a is used as a software platform to propose a multi-focus image fusion method based on contrast pyramid transformation, and use this method to The actual left focused source image is fused with the right focused source image. The overall process of the method is as follows figure 1 shown.

[0113] The general idea of ​​the present invention is a fusion method based on contrast pyramid transformation, which mainly adopts different fusion rules for the fusion processing of each decomposed layer image obtained by contrast pyramid transformation, and performs image reconstruction to obtain a fusion image, which is then processed with sharpening The final fusion result image is obtained by performing secondary fusion with the source image processed by the morphological gradient. In the present invention, the number of deco...

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Abstract

The invention relates to a multi-focus image fusion method based on contrast pyramid transformation. Firstly preprocessing and image enhancement are performed on an input left focus source image and a right focus source image; then information entropy of the obtained enhanced images is solved and the weighted fusion coefficient is determined so that a primary fusion image is obtained; then contrast pyramid decomposition is performed on the two enhanced images and the primary fusion image so that decomposition layer sequence images are obtained; the weighted fusion coefficient is determined for the top layer image according to the pixel information difference between the images, and the fusion rule of taking the maximum pixel absolute value is performed on other layers of images; image reconstruction is performed on the obtained fusion image sequences so that the fusion image is obtained; and finally morphological gradient processing is performed on the fusion image and the two enhanced images, and secondary fusion is performed on the obtained images so that the final fusion result image is obtained. Fusion of the multi-focus images can be performed, and the fusion result image has the characteristics of being high in contrast, comprehensive and abundant in information, outstanding in edge and clear in details.

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 contrast pyramid transformation. Background technique [0002] Due to the limitations of the optical imaging system itself, when imaging a certain scene, objects within the focus range of the optical sensor will be clearly identifiable, while objects outside the focus range will be blurred. The process of fusing one or more images to obtain an image with comprehensive information, clear images of all objects, and easy observation and analysis by human eyes is called multi-focus image fusion. The multi-focus fusion image has the characteristics of large amount of information, high accuracy, and clear and identifiable targets, which can effectively improve people's understanding of the target scene, and is beneficial to human eye observation and identification of targets and subsequent analysis and processing by computers....

Claims

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Application Information

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IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10148G06T2207/20221
Inventor 钱芸生徐华吴宇婧
Owner NANJING UNIV OF SCI & TECH
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