Image processing: Image compression using compressed sensing, discrete cosine transform and wavelet transform.

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Date

2022-01-24

Journal Title

Journal ISSN

Volume Title

Publisher

University of Eloued جامعة الوادي

Abstract

the image quality and the speed of acquisition are very studied, particularly in the medical field. We try to find in our paper the most efficient compression method, which allows having good image quality with a short compression period. Reducing the compression time amounts to reducing the acquisition time. In our article, we proposed three compression methods applied to the medical image: the discrete cosine transform (DCT) method, the wavelet transformation (DWT) and the compressed sensing method (CS). We studied also the acquisition time. In our results, we found that the DWT method gives better image quality compared to other methods. We found also that the CS method is faster than other methods.

Description

Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloued

Keywords

Compression image, Discrete Cosine (DCT), Wavelet Transform (WT), compressed sensing (CS), medical image.

Citation

Bekki, A. Korti, A. Image processing: Image compression using compressed sensing, discrete cosine transform and wavelet transform. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]