Image processing based on the continuous or discrete image transforms is a classic technique. The image transforms are widely used in image filtering, data description, etc. In this paper, we focus on the comparison between numerical methods for image processing using different wavelets. So we build a numerical algorithm using Daubechies and Harr’s wavelets in denoising, compressing, restoring and segmentation numerical images.

wavelet transform, Daubechies wavelet, Haar’s wavelets, numerical images.

Received: April 26, 2021; Accepted: May 14, 2021; Published: June 15, 2021

How to cite this article: Mamadou M. Diop, Serigne Diouf and Alassane Sy, Comparative study of image processing using wavelet transforms, Far East Journal of Applied Mathematics 110(1)(2021), 27-47. DOI: 10.17654/AM110010027

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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