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]