A Partial Differential Equation Algorithm for Image Denoising

Min Ma; Liang Zhao

doi:10.4028/www.scientific.net/AMR.816-817.554

Paper Titles

The System of Real-Time Image Processing and Combustion Diagnosis Based on Omap3530
p.535

Bandit Detection System under Various Noise Levels with Nearest Mean and Gaussian Classifier
p.540

Fault Location for Distribution Networks Based on Node Voltage Equation
p.545

Design of Data Acquisition Testing System for a Fixed Wing UAV Based on Radio-Frequency Technique and Labview
p.550

A Partial Differential Equation Algorithm for Image Denoising
p.554

Design of Distributed Parallel Real-Time Database for Power Grid Dispatching System
p.557

A New Method of Panoramic Image Mosaic Based on SIFT
p.562

Design for Fast Adaboost with Feature Selection
p.566

The Application of Oracle Data Mining Technology in Classification of Disease Information
p.570

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 816-817A Partial Differential Equation Algorithm for...

A Partial Differential Equation Algorithm for Image Denoising

Abstract:

Image restoration is necessary in many applications as the captured images are inevitably noise-contaminated. Typically, the partical differential equations based methods, which is a primary class of image inpainting techniques, is well accepted. In this paper,anisotropic diffusion (P-M) model was introduced to image denoisng. Simulation results were implemented of the proposed method by using Matlab, in which different levels of noise were compared to show the advantages and the disadvantages.

You might also be interested in these eBooks

Manufacturing Science and Technology (ICMST2013)

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 816-817)

Pages:

554-556

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.816-817.554

Citation:

Cite this paper

Online since:

September 2013

Authors:

Min Ma, Liang Zhao

Keywords:

Image Restoration, Partial Differential Equation, P-M Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] D. L. Donoho and I. M. Johnstone, Adapting to unknown smoothness via wavelet shrinkage, J. Amer. Statist. Assoc., vol. 90, no. 432, p.1200–1224, Dec. (1995).

DOI: 10.1080/01621459.1995.10476626

Google Scholar

[2] Witkin AP. Seale-space filtering. Int Joint Conf. Artifical intelligence[R]. Karlsrvhe. West Germany, 1983: 1019-1021.

Google Scholar

[3] Wang Dakai, Hou Yuqing, Peng Jinye. Partial differential equations of image processing methods [M]. Beijing: Science Press, 2008: 24-47.

Google Scholar

[4] Perona P, Malik J. Scale space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1990, 12: 629-639.

DOI: 10.1109/34.56205

Google Scholar

[5] Xu Wei. Research on Image Inpainting and Enlargement Algorithms Based on Partial Differential Equation[D]. Tianjin, Tianjin University. (2007).

Google Scholar