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Application of Marginal Check and Wavelet Transformation in multi-focusing image

机译:边缘检查和小波变换在多聚焦图像中的应用

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Unifies the Marginal Check(MC) and the Wavelet Transformation(WT) fusion algorithm according to the multi-focusing image's characteristic, may obtain sharp image in the identical scene. Firstly, fuse the source image using Gauss-Laplacian operator to obtain the fusion image clear in edge; Secondly, transform the source image using Wavelet to obtain the fusion image clear in whole; Third, fuse the two images obtained above, can get the more clarity fusion image. The experimental results showing that using MC and WT can synthesize multi-focusing image effectively.
机译:根据多聚焦图像的特征统一边缘检查(MC)和小波变换(WT)融合算法,可以在相同的场景中获得锐图像。首先,使用高斯拉普利亚操作员融合源图像,以获得融合图像清除边缘;其次,使用小波变换源图像以获得整体清晰的融合图像;第三,保险丝上面获得的两个图像,可以获得更清晰的融合图像。实验结果表明,使用MC和WT可以有效地合成多聚焦图像。

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