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Electronics 2019, 8(1), 88; https://doi.org/10.3390/electronics8010088

Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation

1
Laboratory of Instrumentation, Faculty of Electronics and Computers, University of Sciences and Technology Houari Boumediene, 16111 Algiers, Algeria
2
Polytech Tours, Imaging and Brain, INSERM U930, University of Tours, 37200 Tours, France
3
Computer Science Department, LIMPAF, University of Bouira, 10000 Bouira, Algeria
4
Electrical Engineering Department, LTIT, Bechar University, 08000 Bechar, Algeria
5
IEMN DOAE UMR CNRS 8520, UPHF, 59313 Valenciennes, France
*
Author to whom correspondence should be addressed.
Received: 5 October 2018 / Revised: 26 December 2018 / Accepted: 8 January 2019 / Published: 14 January 2019
(This article belongs to the Section Computer Science & Engineering)
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Abstract

The operations of digitization, transmission and storage of medical data, particularly images, require increasingly effective encoding methods not only in terms of compression ratio and flow of information but also in terms of visual quality. At first, there was DCT (discrete cosine transform) then DWT (discrete wavelet transform) and their associated standards in terms of coding and image compression. The 2nd-generation wavelets seeks to be positioned and confronted by the image and video coding methods currently used. It is in this context that we suggest a method combining bandelets and the SPIHT (set partitioning in hierarchical trees) algorithm. There are two main reasons for our approach: the first lies in the nature of the bandelet transform to take advantage of capturing the geometrical complexity of the image structure. The second reason is the suitability of encoding the bandelet coefficients by the SPIHT encoder. Quality measurements indicate that in some cases (for low bit rates) the performance of the proposed coding competes with the well-established ones (H.264 or MPEG4 AVC and H.265 or MPEG4 HEVC) and opens up new application prospects in the field of medical imaging. View Full-Text
Keywords: bandelets; medical imaging; quadtree decomposition; SPIHT coder; video coding; MPEG4 AVC; HEVC; video quality measure bandelets; medical imaging; quadtree decomposition; SPIHT coder; video coding; MPEG4 AVC; HEVC; video quality measure
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ferroukhi, M.; Ouahabi, A.; Attari, M.; Habchi, Y.; Taleb-Ahmed, A. Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation. Electronics 2019, 8, 88.

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