Mi-Ripple is a diagnosis-guided workflow that suppresses digital ripple artifacts introduced by iterative reference‑conditioned image editing while preserving image structure. It separates periodic lattice artifacts from content‑entangled granular texture, then combines selective spectral notching, structure‑aware smoothing, and cleaned‑reference regeneration. This separation enables low‑distortion restoration of degraded images.