Bilateral Texture Filtering

Hojin Cho, Hyunjoon Lee, Henry Kang, Seungyong Lee

Abstract:

This paper presents a novel structure-preserving image decomposition
operator called bilateral texture filter. As a simple modification
of the original bilateral filter [Tomasi and Manduchi 1998],
it performs local patch-based analysis of texture features and incorporates
its results into the range filter kernel. The central idea
to ensure proper texture/structure separation is based on patch shift
that captures the texture information from the most representative
texture patch clear of prominent structure edges. Our method outperforms
the original bilateral filter in removing texture while preserving
main image structures, at the cost of some added computation.
It inherits well-known advantages of the bilateral filter, such
as simplicity, local nature, ease of implementation, scalability, and
adaptability to other application scenarios.