Algorithm for fusing multi-focusing image based on salient region extraction

Abstract

The invention relates to an algorithm for fusing a multi-focusing image based on salient region extraction. The algorithm comprises the steps of 1, performing GBVS algorithm to obtain salient images of two source images; 2, performing binaryzation for the salient images, and respectively calculating the space frequency so as to obtain space frequency maps; 3, detecting the weak side edges of the space frequency maps by the watershed algorithm to obtain closed areas, classifying, comparing the space frequency of different regions to find out the false focusing areas, filtering the false focusing areas, and processing the rest regions by the morphological method to obtain a focusing area; 4, directly fusing the source image focusing regions, performing Shearlet conversion for the out-of-focus regions, and decomposing to obtain high frequency and low frequency sub-band coefficients, and respectively performing conversion and fusion based on PCNN and laplacian pyramid; 5, reconstructing the fusion coefficients to obtain a fusion image. With the adoption of the algorithm, the gray levels are dispersedly distributed, the image textures are rich, and the details are salient.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a multi-focus image fusion algorithm based on salient region extraction. Background technique [0002] The limited focus range of the optical system makes it difficult to clearly present all objects in the scene, and the captured image generally consists of in-focus areas and out-of-focus areas. In order to obtain a clear and real scene, and obtain an all-focus fusion image containing feature information of different focus areas of the image, researchers continue to propose various multi-focus image fusion algorithms. [0003] According to the human visual attention mechanism, there are different salience between regions, and the focus of attention usually falls on the region with higher saliency. From a visual point of view, the focus area is a special salient area. In a multi-focus image, the focus area corresponds to the salient part of the image that att...

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Problems solved by technology

However, since the distribution of the salient area is related to the local contrast of the image, if the blurred area contains some areas with relatively high contrast, it will also be classified as a salient area in the saliency analysis, which will affect the judgment of the focused area.

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