Various Techniques for De-noise Image

Asma Abdulelah Abdulrahman, Mohammed Rasheed, Suha Shihab

Abstract


Wavelet decomposition has a great role in eliminating noise, the aim of this work on different noise removal techniques by analyzing the color image. Based on the analysis of different image compression techniques, this paper provides a survey of existing research papers. Different types of method for noise are analyzed from the necessary image, where the disturbance was removed using wavelets with basic theories, and the most important details that will be presented in this work, which clarifies the proposed smooth and effective theory in terms of accuracy in our results. By creating new algorithms that explain how to use the proposed theory, some medical applications were used Discrete Wavelet Transform (DWT) where the results were satisfactory obtained, our proposed theory has been proven to be effective, and examples used will demonstrated this method.


Keywords


De-noise Image; Threshold; Soft Threshold; Hard Threshold; Wavelet Transform

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DOI: https://doi.org/10.18686/esta.v7i4.127

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