Multi-focus image fusion method based on contrast pyramid transformation

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....

AI Technical Summary

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 image to obtain a large value will easily cause the important information of the source image to be lost or weakened, resulting in The image contrast decreases, which will greatly affect the quality of the fusion image

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