hrcak mascot   Srce   HID

Original scientific paper

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

Fulltext: english, pdf (5 MB) pages 203-213 downloads: 194* cite
APA 6th Edition
Bruckmann, A. & Uhl, A. (1998). Selective Medical Image Compression using Wavelet Techniques. Journal of computing and information technology, 6 (2), 203-213. Retrieved from https://hrcak.srce.hr/150235
MLA 8th Edition
Bruckmann, Alfred and Andreas Uhl. "Selective Medical Image Compression using Wavelet Techniques." Journal of computing and information technology, vol. 6, no. 2, 1998, pp. 203-213. https://hrcak.srce.hr/150235. Accessed 6 Jul. 2020.
Chicago 17th Edition
Bruckmann, Alfred and Andreas Uhl. "Selective Medical Image Compression using Wavelet Techniques." Journal of computing and information technology 6, no. 2 (1998): 203-213. https://hrcak.srce.hr/150235
Harvard
Bruckmann, A., and Uhl, A. (1998). 'Selective Medical Image Compression using Wavelet Techniques', Journal of computing and information technology, 6(2), pp. 203-213. Available at: https://hrcak.srce.hr/150235 (Accessed 06 July 2020)
Vancouver
Bruckmann A, Uhl A. Selective Medical Image Compression using Wavelet Techniques. Journal of computing and information technology [Internet]. 1998 [cited 2020 July 06];6(2):203-213. Available from: https://hrcak.srce.hr/150235
IEEE
A. Bruckmann and A. Uhl, "Selective Medical Image Compression using Wavelet Techniques", Journal of computing and information technology, vol.6, no. 2, pp. 203-213, 1998. [Online]. Available: https://hrcak.srce.hr/150235. [Accessed: 06 July 2020]

Abstracts
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.

Keywords
wavelet image compression; region of interest coding; selective image compression

Hrčak ID: 150235

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

Visits: 273 *