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Proceedings Paper

Comparison of recent non-linear filters from graphics field
Author(s): Yang Wang; Kun Fu; Guangluan Xu
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Paper Abstract

Image filtering is an important and fundamental issue in image processing pipelines and find itself a lot of applications in segmentation, salient features detection, colorization, stylization and so on. In recent years, several nonlinear filters aiming at edge-preserving smoothing has been proposed from different fields. However, none of these filters is perfect for all applications due to their own model assumption and solving strategy. In this paper, we give a brief introduction to several of them particularly from graphics field and comparison about their advantages and limitations through experiments. We look forward to offer an helpful starting point for researchers to select or improve them.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981718 (9 December 2015); doi: 10.1117/12.2228569
Show Author Affiliations
Yang Wang, Institute of Electronics (China)
Kun Fu, Institute of Electronics (China)
Guangluan Xu, Institute of Electronics (China)

Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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