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Related Experiment Video

Updated: Jul 11, 2026

Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats &amp; Spheres
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Artistic edge and corner enhancing smoothing.

Giuseppe Papari1, Nicolai Petkov, Patrizio Campisi

  • 1Institute of Mathematics and Computing Science, University of Groningen, 9700 AV Groningen, The Netherlands.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|October 12, 2007
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image processing operator that creates painting-like effects by smoothing textures while preserving edges. The new method is robust to noise and image degradation, outperforming existing techniques.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Art

Background:

  • Photographic images possess texture details and less sharp edges compared to paintings.
  • Artistic filters aim to replicate painting-like aesthetics by smoothing textures and enhancing edges.
  • Existing edge-preserving smoothers often struggle with noise and image degradations.

Purpose of the Study:

  • To develop a novel image processing operator for generating painting-like visual effects.
  • To overcome the limitations of existing edge-preserving filters, particularly their instability with noise.
  • To create an operator robust to image degradations like blurring and noise.

Main Methods:

  • A simple nonlinear local operator is proposed, generalizing the Kuwahara filter and criterion-value filter structures.
  • The operator is designed to smooth texture details while preserving or enhancing edges and corners.
  • Extensive experimental comparisons with existing techniques were conducted on natural images.

Main Results:

  • The proposed operator successfully generates visually painting-like images.
  • It demonstrates superior robustness to noise and blurring compared to traditional edge-preserving smoothers.
  • The operator effectively handles shadowed areas where other methods often fail.

Conclusions:

  • The novel operator provides a robust and effective method for achieving artistic painting effects from photographic images.
  • This approach overcomes significant limitations of prior edge-preserving smoothing techniques.
  • The method shows promise for applications requiring stylized image rendering and image restoration.