Effect of Modified Wiener Algorithm on Noise Models

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Author(s) Oke Alice O | Omidiora Elijah O | Fakolujo Olaosebikan A | Falohun Adeleye S | Olabiyisi S.O
Pages 1439-1448
Volume 2
Issue 8
Date August, 2012
Keywords Convolution, Degradation, Speckle, Poisson and Salt & Pepper Noise, Restoration, Simulation, Linear motion Blur, Weiner Algorithm.


The restoration of images degraded by linear motion blur and additive noise is examined. Previously, restoration of degraded images due to linear motion blur and Gaussian noise using Modified Wiener algorithm was applied successfully. However, considering the fact that there are other types of Noise models, the stability of the performance of the algorithm need be ascertained. In this paper, the effect of Modified Wiener algorithm on the restoration of degraded images by linear motion blur and three different noise models was carried out. Evaluation was done using the same three quantitative performance measures: Root Mean Square Error (RMSE), Signal- to-Noise Ratio (SNR) and Peak Signal-to-Noise Ratio (PSNR), with RMSE and SNR as the objective measurement. Results showed the consistency of the algorithm.

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