REPro.JPEG: A new image compression approach based on Reduction/Expansion image and JPEG compression for dermatological medical images
Autor: | M. S. Bouhlel, Hedi Amri, Ali Khalfallah, Jean-Christophe Lapayre |
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Přispěvatelé: | Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Université de Sfax - University of Sfax |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Texture compression
Computer science JPEG 0206 medical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Context (language use) 02 engineering and technology Data_CODINGANDINFORMATIONTHEORY [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] Image (mathematics) Reduction (complexity) [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] 0202 electrical engineering electronic engineering information engineering Media Technology Computer vision Lossless JPEG business.industry transmission image expansion computer.file_format medical images [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation image compression archiving image reduction [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] colour spaces 020201 artificial intelligence & image processing [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET] Computer Vision and Pattern Recognition Artificial intelligence telemedicine [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] business computer 020602 bioinformatics Volume (compression) Image compression |
Zdroj: | Imaging Science Journal Imaging Science Journal, Maney Publishing, 2017, 65 (2), pp.98-107. ⟨10.1080/13682199.2017.1289620⟩ |
ISSN: | 1368-2199 1743-131X |
DOI: | 10.1080/13682199.2017.1289620⟩ |
Popis: | International audience; Medical image are known for their huge volume which becomes a real problem for their archiving or transmission notably for telemedicine applications. In this context, we present a new method for medical image compression which combines image definition resizing and JPEG compression. We baptize this new protocol REPro.JPEG (Reduction/Expansion Protocol combined with JPEG compression). At first, the image is reduced then compressed before its archiving or transmission. At last, the user or the receiver decompress the image then enlarge it before its display. The obtain results prove that, at same number of bits per pixel lower than 0.42, that REPRo.Jpeg guarantees a better preservation of image quality compared to the JPEG compression for dermatological medical images. Besides, applying the REPRo.Jpeg on these color medical images is more efficient while using the HSV color space compared to the use of RGB or YCbCr color spaces. |
Databáze: | OpenAIRE |
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