PDE Model Analysis Process in Image Noise Reduction

DOI

10.2991/emcs-16.2016.101How to use a DOI?

Keywords

Image Denoising; Partial Differential Equations; Image Noise; Wavelet Model; Boundary Conditions

Abstract

With development of modern science and technology, partial differential equations application in digital image processing is developing rapidly in recent years. The partial differential equation of image is to deal with the fouling, the image information in the establishment of partial differential continuous mathematical model. In the solution of partial, differential equations, using specific solutions for image noise reduction, denoising, segmentation to deface the processing.

Copyright

© 2016, 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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TY  - CONF
AU  - Lingyun Fan
PY  - 2016/01
DA  - 2016/01
TI  - PDE Model Analysis Process in Image Noise Reduction
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 423
EP  - 426
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.101
DO  - 10.2991/emcs-16.2016.101
ID  - Fan2016/01
ER  -