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Mi-Ripple separates periodic lattice artifacts from content-entangled granular texture, then combines selective spectral notching, structure-aware smoothing, and cleaned-reference regeneration to link measurable artifact reduction to visibly cleaner generated images, rather than optimizing a spectral score alone.
