[Back]

P. Kniefacz, W. Kropatsch:
"Smooth and iteratively restore: A simple and fast edge-preserving smoothing model";
Talk: OAGM/AAPR Workshop 2015, Salzburg; 2015-05-28 - 2015-05-29; in: "Proceedings of the ÖAGM Workshop 2015, Salzburg, Austria, May 2015", A. Uhl, R. Kwitt (ed.); (2015), Paper ID arXiv:1505.06702 [cs.CV], 9 pages.

In image processing, it can be a useful pre-processing step to smooth away small
structures, such as noise or unimportant details, while retaining the overall structure of the image
by keeping edges, which separate objects, sharp. Typically this edge-preserving smoothing process
is achieved using edge-aware filters. However such filters may preserve unwanted small structures as
well if they contain edges. In this work we present a novel framework for edge-preserving smoothing
which separates the process into two different steps: First the image is smoothed using a blurring
filter and in the second step the important edges are restored using a guided edge-aware filter. The
presented method proves to deliver very good results, compared to state-of-the-art edge-preserving
smoothing filters, especially at removing unwanted small structures. Furthermore it is very versatile
and can easily be adapted to different fields of applications while at the same time being very fast
to compute and therefore well-suited for real time applications.

http://publik.tuwien.ac.at/files/PubDat_243316.pdf