Different focus image fusion based on multi-level scaling

Ruiyan Qian; Zhenkun Lu

doi:10.1117/12.2285516

8 March 2018 Different focus image fusion based on multi-level scaling

Ruiyan Qian , Zhenkun Lu

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106111D (2018) https://doi.org/10.1117/12.2285516
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Based on the idea of iteration, a simple and effective method for multi-focus image fusion is proposed. Firstly, two images are processed by Gaussian convolution, and the blurred images are obtained. Then, the area decision of image blocks are obtained through the original image subtracting the blurred images at different blocks and different levels. According to the principle of consistency, the subjection of image blocks is obtained by the area decision of image blocks. The area partition map is obtained by the subjection map at different levels. Finally, the fused image is obtained through the method of coefficient weighting. The experimental results show that the image quality obtained by the proposed method is superior to the traditional fusion method.

Citation Download Citation

Ruiyan Qian and Zhenkun Lu "Different focus image fusion based on multi-level scaling", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106111D (8 March 2018); https://doi.org/10.1117/12.2285516

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KEYWORDS

Image fusion

Image processing

Signal to noise ratio

Convolution

Iterative methods

Wavelets

Color imaging

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