A Low-Cost Structure-Preserving Texture Removal Method Using AW-dRTV and Pixel-Wise ISES Filter

Abstract In this paper, we propose a method that combines an anisotropically weighted version of the directional relative total variation measure (AW-dRTV) with a pixel-wise Intensity and Scale Adjustable Edge-Preserving Smoothing filter (ISES filter). This approach enables effective removal of high-contrast textures with low computational cost while preserving important structural edges.