Texture Smoothing Based on Adaptive Total Variation

Abstract

Textures are ubiquitous and usually have fine details as well as meaningful structures on the surfaces. Many algorithms have been proposed for texture smoothing and structure extraction, but none of them obtained a satisfactory effect because the optimization procedure is very challenging. In this paper, we present a texture smoothing method based on a novel adaptive total variation framework. We propose using absolute variation to separate the important structures and the fine details of a texture. Then, a sharp total variation (STV) based on absolute variation and inherent variation is used to reinforce the structure edges during the smoothing process. Finally, by integrating our proposed STV and the existing relative total variation (RTV), we can not only smooth the fine detail of the textures, but also maintain the salient structures. Experiments show that our method outperforms the existing methods in terms of detail smoothing and salient structures preserving.