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Research Paper | Computer Science & Engineering | Iraq | Volume 6 Issue 11, November 2017

Analyzing the Application of Fourier and Wavelet Transformations for Image Noise Reduction

Elham M. T. AbdALAmeer | Ashwak Alabaichi | Rafid Sagban

Abstract: For a proper data analysis, noise should be reduced from digital images. Effective noise reduction method is essential to increase image visual quality. Finding such kinds of methods is still going on. Fourier Transform (FT) and Wavelet Transform (WT) are potent tools for the reduction of noise from digital images. However, a few experimental researches have been conducted to conclude which of the de-noising techniques are suitable for this kind of application and when it should be used. In this paper, the intermediate and final results of noise reduction using both methods are analyzed. Experiments include using Gaussian and Periodic noises in medical images.

Keywords: Gaussian Noise, Periodic Noise, De-noising, Wavelet Transform, Fourier Transform

Edition: Volume 6 Issue 11, November 2017,

Pages: 1053 - 1057