The Effectiveness of two Dimensional Haar Wavelet Image De-noising performance using Soft or Hard Thresholding Approach

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 str...

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Bibliographic Details
Published inTikrit Journal of Pure Science Vol. 29; no. 1; pp. 196 - 205
Main Authors Saood, Wesam Hujab, Hasan, Khamees Khalaf
Format Journal Article
LanguageEnglish
Published Tikrit University 25.02.2024
Subjects
Aar wavelet
Discrete Wavelet Transform
Image De-noising
Thresholding
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Summary: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 Haar wavelet. Wavelets are hierarchically decomposing mathematical tools.  A noisy picture is sent to the Haar wavelet transform to create four decomposed bands(for each level), and the noise is then removed by applying a threshold to the resultant image band. Then, an inverse transform is used to provide a noise-reduced picture. Performance characteristics are improved by the suggested design in contrast to those of the current approaches.
ISSN:1813-1662
2415-1726
DOI:10.25130/tjps.v29i1.1507