An Adaptive Window Approach for Image Smoothing and Structures Preserving
Abstract
A novel adaptive smoothing approach is proposed for image smoothing and discontinuities preservation. The method is based on a locally piecewise constant modeling of the image with an adaptive choice of a window around each pixel. The adaptive smoothing technique associates with each pixel the weighted sum of data points within the window. We describe a statistical method for choosing the optimal window size, in a manner that varies at each pixel, with an adaptive choice of weights for every pair of pixels in the window. We further investigate how the I-divergence could be used to stop the algorithm. It is worth noting the proposed technique is data-driven and fully adaptive. Simulation results show that our algorithm yields promising smoothing results on a variety of real images.
Cite
Text
Kervrann. "An Adaptive Window Approach for Image Smoothing and Structures Preserving." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-24672-5_11Markdown
[Kervrann. "An Adaptive Window Approach for Image Smoothing and Structures Preserving." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/kervrann2004eccv-adaptive/) doi:10.1007/978-3-540-24672-5_11BibTeX
@inproceedings{kervrann2004eccv-adaptive,
title = {{An Adaptive Window Approach for Image Smoothing and Structures Preserving}},
author = {Kervrann, Charles},
booktitle = {European Conference on Computer Vision},
year = {2004},
pages = {132-144},
doi = {10.1007/978-3-540-24672-5_11},
url = {https://mlanthology.org/eccv/2004/kervrann2004eccv-adaptive/}
}