Color polarization image fusion algorithm based on wavelet transform

Yuhang Pan; Haili Zhao

doi:10.1117/12.3045493

20 September 2024 Color polarization image fusion algorithm based on wavelet transform

Yuhang Pan, Haili Zhao

Proceedings Volume 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024); 1326905 (2024) https://doi.org/10.1117/12.3045493
Event: Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

To enhance the quality and contrast of color polarization images, this paper proposes a novel color polarization image fusion algorithm based on wavelet transform (WTCPI). The method begins by preprocessing four images captured at different polarization angles to generate a polarization intensity (I) image and a degree of linear polarization (DoLP) image using the Stokes vector method. Wavelet decomposition is then applied to these images to obtain their high-frequency and low-frequency components. The low-frequency components are fused using a weighted average method, while the high-frequency components are fused by taking the maximum of their absolute values. Finally, the fused images are reconstructed. Experimental results demonstrate that the proposed algorithm significantly improves subjective visual comfort and outperforms existing methods across all objective evaluation metrics.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuhang Pan and Haili Zhao "Color polarization image fusion algorithm based on wavelet transform", Proc. SPIE 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 1326905 (20 September 2024); https://doi.org/10.1117/12.3045493

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KEYWORDS

Image fusion

Polarization

Image enhancement

Wavelets

Visualization

Detection and tracking algorithms

Image quality

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