Discrete orthogonal polynomial transformation-based multi-focus image fusion method

Abstract

The invention requests to a discrete orthogonal polynomial transformation-based multi-focus image fusion method. The method includes the following steps that: a plurality of images which need to be fused are divided into blocks, and m n*n blocks are obtained; discrete orthogonal polynomial transformation is performed on each block, so that corresponding transformation coefficients can be obtained, and the spatial frequency of each block is obtained based on relationships between the spatial frequency (SF) and the discrete orthogonal polynomial transformation coefficients; the spatial frequencies of the blocks corresponding to the plurality of images are compared with each other, and the plurality of images are fused according to a fusion rule of largest spatial frequencies; and consistency verification is performed on a fused image, and a final fused image can be obtained. Compared with a traditional multi-focus image fusion method, and according to the discrete orthogonal polynomial transformation-based multi-focus image fusion method of the invention, the discrete orthogonal polynomial transformation is adopted initiatively, and the relationships are built between the spatial frequencies of the image and the discrete polynomial transformation coefficients, and therefore, fusion time can be saved, and the fusion effect of the image can be effectively improved.

Description

technical field [0001] The invention belongs to a multi-focus image fusion method based on discrete orthogonal polynomial transformation, and belongs to the technical fields of digital image processing and machine vision. Background technique [0002] Vision is the most important means for human beings to obtain information from nature. According to statistics, visual information accounts for about 60% of the information obtained by humans. It can be seen that visual information is important to human beings, and images are the main way for human beings to obtain visual information. Since the 1960s, with the continuous improvement and popularization of computer technology, images have played an increasingly important role in human life, and digital image processing has entered a period of rapid development. [0003] The so-called digital image processing is to use digital computers or other digital hardware to perform certain mathematical operations on the electrical signal...

AI Technical Summary

Problems solved by technology

Due to the limited focusing range of the optical lens, the optical imaging system cannot clearly image all the targets inside and outside the focus at the same time, resulting in a lot of time and effort for image analysis

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