Color polarization image fusion algorithm based on wavelet transform

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.