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Wavelet-refinement-inspired diffusion model for scattering imaging
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DOI：10.1016/j.optlastec.2025.113520.png)
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Abstract
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• The wavelet-refinement-inspired diffusion model can capture both global and refined features, thereby providing more effective constraints for the image reconstruction process. • In comparison to the existing scattering imaging methods, the model presented in this paper outperforms in reconstructing complex targets, effectively reducing image artifacts. In the simulations, the average PSNR and SSIM of the reconstructed image can reach 22.49 dB and 0.78. • The proposed image reconstruction strategy provides a general reference approach for solving inverse problems and can be applied to other computational optical imaging fields.
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