3 December 2015 Research on fusion algorithm of polarization image in tetrolet domain
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Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97941Q (2015) https://doi.org/10.1117/12.2203477
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
Abstract
Tetrolets are Haar-type wavelets whose supports are tetrominoes which are shapes made by connecting four equal-sized squares. A fusion method for polarization images based on tetrolet transform is proposed. Firstly, the magnitude of polarization image and angle of polarization image can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions using tetrolet transform. For the low-frequency coefficients, the average fusion method is used. According to edge distribution differences in high frequency sub-band images, for the directional high-frequency coefficients are used to select the better coefficients by region spectrum entropy algorithm for fusion. At last the fused image can be obtained by utilizing inverse transform for fused tetrolet coefficients. Experimental results show that the proposed method can detect image features more effectively and the fused image has better subjective visual effect
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Dexiang Zhang, BaoHong Yuan, Jingjing Zhang, "Research on fusion algorithm of polarization image in tetrolet domain ", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941Q (3 December 2015); doi: 10.1117/12.2203477; https://doi.org/10.1117/12.2203477
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