However, the PSNR difference between CasDyF-Net and MADNet (parameters: 8.7M, FLOPs: 34.5G) did not reach statistical significance (t(29)=1.99, p=0.082, d=0.36).
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An image processing technique for optimizing industrial defect detection using dehazing algorithms.
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