Scale-Aware Guided and Structure-Preserved Texture Filter
Wei Cao, Shiqian Wu, Zhaoyi Liu, Sos С. Agaian · IEEE Geoscience and Remote Sensing Letters · 2021
In this letter, a new texture filter with scale-aware gradients and structural preservation is proposed. The proposed filter uses a hybrid$L_{0}$-$H^{-1} $variational model via measuring sparsity with scale-aware gradients by the$L_{0}$norm and structural fidelity by the$H^{-1}$norm with the embedded Laplacian operator. Extensive qualitative and quantitative experimental results demonstrate that the proposed method 1) smooths small-scale low/high contrast textures and intensive noise while preserving sharp and prominent structures simultaneously; 2) significantly outperforms state-of-the-art texture filtering methods; and 3) has fast convergence.