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- W4384518488 abstract "Image fusion technology refers to the use of a specific algorithm to synthesize two or more images to be fused into a new image, which contains the important information of each image to be fused and is a collection of all the images to be fused. Its clarity is improved, image descriptions are more comprehensive, data information is more reliable, and requirements that can be met are more diverse. This paper proposes a genetic algorithm for image fusion based on wavelet transform. Firstly, the image is decomposed by wavelet to obtain the wavelet pyramid of the image. Secondly, the sub image is reconstructed using genetic algorithm to determine the wavelet coefficients. Finally, the fusion rules for high and low frequency coefficients are used for reconstruction. Experimental tests show that this algorithm improves the reliability and fusion quality of images, reduces redundant information, reduces noise, and enhances the image fusion effect." @default.
- W4384518488 created "2023-07-18" @default.
- W4384518488 creator A5014350342 @default.
- W4384518488 date "2023-05-26" @default.
- W4384518488 modified "2023-09-23" @default.
- W4384518488 title "Research on Image Fusion Algorithm Based on Wavelet Transform" @default.
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- W4384518488 doi "https://doi.org/10.1109/icetci57876.2023.10176556" @default.
- W4384518488 hasPublicationYear "2023" @default.
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