1. Artistic Edge and Corner Enhancing Smoothing
Giuseppe Papari
Nicolai Petkov
Patrizio Campisi

2. ABSTRACT 1) absence of texture details
2) increased sharpness of edges as compared to photographic images
generalizes both the well known Kuwahara filter and the more general class of filters known as VCFS.
VCFS :
value and criterion filter structure
Value-and-criterion filters have a `value' function (V) and a `criterion' function (C), each operating separately on the original image, and a `selection' operator (S) acting on the output of C. The selection operator chooses a location from the output of C, and the output of V at that point is the output of the overall filter.

3. OUTLINE INTRODUCTION KUWAHARA FILTER AND EXTENSIONS PROPOSED OPERATOR
EXPERIMENTAL RESULTS

4. INTRODUCTION
Linear low-pass filtering strongly attenuates high-frequency components, not only noise, but also edges and corners, are smoothed out.
There has been a remarkable effort to find a nonlinear operator able to remove texture and noise, while preserving edges and corners.
ECPS :
edge and corner preserving smoother
Ex : median filtering, morphological analysis, bilateral filtering

5. INTRODUCTION 1) a different set of weighting subregions current work :
In a specific aspect of ECPSs, their ability to produce images that are visually similar
to paintings.
algorithm makes use of :
1) a different set of weighting subregions
for computing local averages
2) a different combination criterion which generalizes the minimum standard deviation rule and which does not suffer the above mentioned ill-posedness.

6. KUWAHARA FILTER AND EXTENSIONS
A. Review of the Kuwahara Filter

7. KUWAHARA FILTER AND EXTENSIONS
A. Review of the Kuwahara Filter
MSDC :
minimum standard deviation criterion

8. KUWAHARA FILTER AND EXTENSIONS
B. Limitations of the Kuwahara Filter Fig.2

9. PROPOSED OPERATOR

10. PROPOSED OPERATOR
MSDC :
minimum standard deviation criterion

11. PROPOSED OPERATOR

12. EXPERIMENTAL RESULTS A. Comparison With Existing Approaches Fig.8

13. EXPERIMENTAL RESULTS
B. Influence of the Parameters

14. EXPERIMENTAL RESULTS
B. Influence of the Parameters

15. EXPERIMENTAL RESULTS
B. Influence of the Parameters

16. Thank you for your listening!