Brahimi, Tahar, Khelifi, Fouad and Kacha, Abdellah (2021) An efficient JPEG-2000 based multimodal compression scheme. Multimedia Tools and Applications, 80 (14). pp. 21241-21260. ISSN 1380-7501
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Abstract
In this paper, a wavelet-based multimodal compression method is proposed. The method jointly compresses a medical image and an ECG signal within a single codec, i.e., JPEG-2000 in an effective and simple way. The multimodal scheme operates in two main stages: the first stage, consists of the encoder and involves a mixing function, aiming at inserting the samples of the signal in the image according to a predefined insertion pattern in the wavelet domain. The second stage represented by a separation function, consists of the extraction process of the ECG signal from the image after performing the decoding stage. Both the cubic spline and the median edge detection (MED) predictor have been adopted to conduct the interpolation process for estimating image pixels.
Item Type: | Article |
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Uncontrolled Keywords: | Multimodal signal-image compression, JPEG-2000 codec, SPIHT codec, Wavelet compression, Biomedical data compression |
Subjects: | G400 Computer Science |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | John Coen |
Date Deposited: | 11 Jun 2021 07:49 |
Last Modified: | 15 Mar 2022 03:30 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/46419 |
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