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Selective Medical Image Compression using Wavelet Techniques

Alfred Bruckmann ; RIST++ (Research Institute for Softwaretechnology), University of Salzburg
Andreas Uhl ; RIST++ (Research Institute for Softwaretechnology), University of Salzburg

Puni tekst: engleski, pdf (5 MB) str. 203-213 preuzimanja: 153* citiraj
APA 6th Edition
Bruckmann, A. i Uhl, A. (1998). Selective Medical Image Compression using Wavelet Techniques. Journal of computing and information technology, 6 (2), 203-213. Preuzeto s https://hrcak.srce.hr/150235
MLA 8th Edition
Bruckmann, Alfred i Andreas Uhl. "Selective Medical Image Compression using Wavelet Techniques." Journal of computing and information technology, vol. 6, br. 2, 1998, str. 203-213. https://hrcak.srce.hr/150235. Citirano 15.10.2019.
Chicago 17th Edition
Bruckmann, Alfred i Andreas Uhl. "Selective Medical Image Compression using Wavelet Techniques." Journal of computing and information technology 6, br. 2 (1998): 203-213. https://hrcak.srce.hr/150235
Harvard
Bruckmann, A., i Uhl, A. (1998). 'Selective Medical Image Compression using Wavelet Techniques', Journal of computing and information technology, 6(2), str. 203-213. Preuzeto s: https://hrcak.srce.hr/150235 (Datum pristupa: 15.10.2019.)
Vancouver
Bruckmann A, Uhl A. Selective Medical Image Compression using Wavelet Techniques. Journal of computing and information technology [Internet]. 1998 [pristupljeno 15.10.2019.];6(2):203-213. Dostupno na: https://hrcak.srce.hr/150235
IEEE
A. Bruckmann i A. Uhl, "Selective Medical Image Compression using Wavelet Techniques", Journal of computing and information technology, vol.6, br. 2, str. 203-213, 1998. [Online]. Dostupno na: https://hrcak.srce.hr/150235. [Citirano: 15.10.2019.]

Sažetak
Selective Image Compression (SeLIC) is a compression technique where explicitly defined regions of interest (Roi) are compressed in a lossless way whereas image regions containing unimportant information are compressed in a lossy manner. Such techniques are of great interest in telemedicine or medical imaging applications with large storage requirements. In this paper we introduce and compare different techniques based on wavelet transforms and demonstrate their good performance which is mainly due to the spatial locality of the wavelet transform domain.

Ključne riječi
wavelet image compression; region of interest coding; selective image compression

Hrčak ID: 150235

URI
https://hrcak.srce.hr/150235

Posjeta: 205 *