We present a simple but effective technique to smooth out textures while
preserving the prominent structures. Our method is built upon a key observation
-- the coarsest level in a Gaussian pyramid often naturally eliminates textures
and summarizes the main image structures. This inspires our central idea for
texture filtering, which is to progressively upsample the very low-resolution
coarsest Gaussian pyramid level to a full-resolution texture smoothing result
with well-preserved structures, under the guidance of each fine-scale Gaussian
pyramid level and its associated Laplacian pyramid level. We show that our
approach is effective to separate structure from texture of different scales,
local contrasts, and forms, without degrading structures or introducing visual
artifacts. We also demonstrate the applicability of our method on various
applications including detail enhancement, image abstraction, HDR tone mapping,
inverse halftoning, and LDR image enhancement.

本论文基于高斯金字塔进行了图像纹理滤波，通过逐步上采样低分辨率的高斯金字塔层级来平滑纹理，保留主要图像结构。该方法在各种应用中表现出很好的效果，包括细节增强、图像抽象、HDR 调节、反半色调、LDR 图像增强。