This paper revisits the mesh denoising problem by presenting an extended and refined version of our previous adaptive patch framework. Triangular meshes acquired from real-world data often contain noise that degrades surface quality, and denoising techniques must remove such distortions while preserving true geometric details, a difficult task due to the similar high-frequency characteristics of noise and sharp features. Our revisited approach follows a two-step strategy that first applies bilat