arrow
Return

Bilateral Texture Filtering

delete2014-07-27
delete172
delete
OA
AI
H
Hojin Cho *
H
Hyunjoon Lee
S
Seungyong Lee
DOI:10.1145/2601097.2601188delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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.
Keywords:
bilateral filter
patch shift
texture smoothing
image decomposition
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

ACM Transactions on Graphics cover
ACM Transactions on Graphics
IF:
9.5
Papers:
4.7K
Citations:
3.6W

Organization

University of Missouri System cover
University of Missouri System
Scholars:
2.9W
Papers: 2.7W
Citations: 75