We present a framework for the optimal filtering of spherical signals contaminated by realizations an additive, zero-mean, uncorrelated and anisotropic noise process on sphere. Filtering is performed in wavelet domain given scale-discretized transform The proposed filter sense that it minimizes mean square error between filtered representation noise-free signal. also simplified formulation case...