Image Denoising using Fourth Order PDE

Denoise images based on fourth order partial differential equations.

Description

PDEs are very good candidates for image denoising. One of the most commonly used PDE based denoising technique is the second order non linear PDE proposed by Perona and Malik in 90s and its various versions. One probelm with the second order PDEs is the it may arise blocky effects in the image. This can be avoided by using fourth order PDEs.

Ref : Yu-Li You, M. Kaveh, Fourth Order Partial Differential Equations for Noise Removal?, IEEE Trans. Image Processing, vol. 9, no. 10, pp 1723-1730, October 2000

• Required Products: Image Processing Toolbox
• MATLAB release: MATLAB 6.1 (R12.1)

[annam mani]

good

[Syed Khundmir]

 

[Bob Reed]

This code defines variables that are never used. In addition, the image intensities are not normalized. This means that the extent of smoothing depends upon the absolute intensity of the image. These defects are easily repaired by anyone proficient in MATLAB.

[palo feke]

ghjghjgj

[Sana]

Hi,
please help me to use this code. what is the value of threshold T. Please send me a image test for this code.

[Kristian Hagsted Rasmussen]