Title

Multi-scale structure-preserving image filtering

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

2017 IEEE 19th International Workshop on Multimedia Signal Processing, MMSP 2017

Volume

2017-January

First Page

1

Last Page

6

Publication Date

11-27-2017

Abstract

Edge-preserving filtering is vital in many image processing and computer vision tasks. However, existing techniques, such as the bilateral filter and the guided filter, have limitations when dealing with stronger filtering strengths, resulting in the suppression of image structures. In this work, we discuss an alternative structure-preserving image filter (SPIF) that operates on multiple detail densities (i.e. scales) so as to overcome the trade-off between filtering strength and edge-preservation. We show, using several experiments, that the proposed filter is capable of performing various tasks, specifically detail enhancement and image abstraction, while maintaining low computational times. The parameterization of the proposed filter provides a high degree of flexibility, allowing it to perform well for the aforementioned tasks, and potentially, in many other tasks. © 2017 IEEE.

html

Digitial Object Identifier (DOI)

10.1109/MMSP.2017.8122290

Disciplines

Electrical and Computer Engineering

Keywords

Image processing; Computer vision

Upload File

wf_yes

This document is currently not available here.

Share

COinS