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Utilizing Wavelet Transform to Image De-Noising | ||
| Journal of University of Babylon | ||
| Article 1, Volume 21, Issue 5, 2013, Pages 1784-1793 | ||
| Author | ||
| Nedhal Mohammad Al-Shereefi | ||
| Abstract | ||
| Image de-noising and restoration represent basic problems in image processing with many different applications including engineering, reconstruction of missing data during their transmission and enhancement ..etc. this work is aimed at developing effective algorithm for denoising image using new strategy algorithm of wavelet techniques ,by applying two dimensions wavelet transform using Daubechies wavelet over the image and reordering all coefficient of 4 subimages in one row vector C (in each decomposition level) and thresholded this vector where the threshold value equal to STD of vector C. The Proposed method is verified for different data where applied for processing of various images ,different levels and different noises. The analysis results have indicated that the performance of suggested method is a good thresholdding strategy ,where the constructed images are good quality and less distorted. The Matlab programming environment has been used to realize the algorithms and to obtain the presented results. | ||
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