Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Local Laplacian Filters and some extensions

Authors
Zhong Ren
Corresponding Author
Zhong Ren
Available Online May 2015.
DOI
10.2991/asei-15.2015.219How to use a DOI?
Keywords
Laplacian pyramid, edge-aware, over-enhancement, haze removing
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.219How to use a DOI?
Copyright
© 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  -