Cover
Vol. 10 No. 2 (2010)

Published: September 30, 2010

Pages: 90-101

Original Article

Restoration of Noisy Blurred Images

Jassim M. 1 Dunia S. Tahir 2 Fadhil A. Ali 2
1 Mosul University, Engineering College, Computer Department
2 Basrah University, Engineering College, Computer Department
History
  • Received: June 30, 2010
  • Available Online: September 30, 2010
DOI

https://doi.org/10.33971/bjes.10.2.8

Abstract

In this paper, image deblwring and denoising are presented. The used images were blurred either with Gaussian or motion blur and corrupted either by Gaussian noise or by salt & pepper noise. In our algorithm, a discrete wavelet transform is used to dJvide the image into two parts. This partition will help in increasing the manipulation speed of images that are of the big sizes. Therefore, the first part represents the approximation coefficients, that a blur is reduced b,y using the modified fixed-phase iterative algorithm. While the second part represents the detail coefficients, that a noise is removed by using the BayesShrink wavelet thresholding method.

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