Local Laplacian Filters and some extensions
- 10.2991/asei-15.2015.219How to use a DOI?
- Laplacian pyramid, edge-aware, over-enhancement, haze removing
The Laplacian pyramid was always used for image analysis. However, the Laplacian pyramid could also be used for edge-aware image processing. To get successful results, this method spent much less time than most of other methods such as anisotropic diffusion, neighborhood filtering, and specialized wavelet bases. This method was based on the way of iteration and process each pixel again and again. The more times this method computed the image in the iteration, the better the result was. While there was a disadvantage of this method: there existed over enhancement in some areas. To this drawback, My study improved this method, which led to image distortion. Besides, my method made it possible to process video. My research also found that this method could be used to remove haze in the image.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhong Ren PY - 2015/05 DA - 2015/05 TI - Local Laplacian Filters and some extensions BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1107 EP - 1110 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.219 DO - 10.2991/asei-15.2015.219 ID - Ren2015/05 ER -