Brightness Fusion and Multi-Scale Optimized Enhancement Algorithm for Fuel Rod DR Images

[Purpose] To efficiently detect internal defects in fuel rods, a high-resolution visual nondestructive testing method, X-ray imaging, is employed. To address the issue of low contrast in fuel rod X-ray DR images, a brightness fusion and multiscale optimized enhancement algorithm for fuel rod DR images is proposed.

[Methods] First, the image brightness is corrected using logarithmic and gamma transformations and further refined by incorporating local information fusion. Subsequently, a wavelet function is applied for multiscale decomposition, enhancing and sharpening low-frequency components with Retinex, and filtering high-frequency components using NL_Means. Finally, image enhancement is realized via wavelet reconstruction.