Scale-aware Structure-Preserving Texture Filtering

Junho Jeon
POSTECH

Hyunjoon Lee
POSTECH

Henry Kang
University of Missouri

Seungyong Lee
POSTECH

Computer Graphics Forum (Pacific Graphics 2016), Vol. 35, No. 7 , October 2016




Abstract

This paper presents a novel method to enhance the performance of structure-preserving image and texture filtering. With conventional edge-aware filters, it is often challenging to handle images of high complexity where features of multiple scales coexist. In particular, it is not always easy to find the right balance between removing unimportant details and protecting important features when they come in multiple sizes, shapes, and contrasts. Unlike previous approaches, we address this issue from the perspective of adaptive kernel scales. Relying on patch-based statistics, our method identifies texture from structure and also finds an optimal per-pixel smoothing scale. We show that the proposed mechanism helps achieve enhanced image/texture filtering performance in terms of protecting the prominent geometric structures in the image, such as edges and corners, and keeping them sharp even after significant smoothing of the original signal.


Paper
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BibTex

@inproceedings{jeon2016scale,
title={Scale-aware Structure-Preserving Texture Filtering},
author={Jeon, Junho and Lee, Hyunjoon and Kang, Henry and Lee, Seungyong},
booktitle={Computer Graphics Forum},
volume={35},
number={7},
pages={77--86},
year={2016},
organization={Wiley Online Library}
}