By Topic

Complex diffusion based speckle reduction from digital images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Srivastava, R. ; Dept. of Comput. Eng., BHU, Varanasi, India ; Gupta, J.R.P. ; Parthasarthy, H.

A complex diffusion process based on Schro??dinger wave equation is proposed and implemented as a nonlinear filter to perform homomorphic filtering for reducing speckle noise from digital images. Due to the multiplicative and complex nature of speckle noise it becomes practically difficult to restore a degraded image, hence a homomorphic filtering approach is used for the reduction of the same. The homomorphic filtering refers to applying logarithm transformation on input image to convert the multiplicative noise to additive one, applying complex diffusion based inverse filter and finally taking the exponential of filter output to produce the restored image. For digital implementations, the proposed PDE is discretized using finite difference scheme. For software implementation MATLAB 7.0 was used and performance of the proposed scheme was evaluated for different speckle noise variance of the gray test images both qualitatively and quantitatively and the results obtained justify the applicability of proposed scheme.

Published in:

Methods and Models in Computer Science, 2009. ICM2CS 2009. Proceeding of International Conference on

Date of Conference:

14-15 Dec. 2009