Pregled bibliografske jedinice broj: 374137
Wavelet downsampling in image compression
Wavelet downsampling in image compression // Proceedings of 47th International Symposium ELMAR-2005 / Grgić, Mislav ; Kos, Tomislav ; Grgić, Sonja (ur.).
Zadar: Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2005. str. 99-102 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Wavelet downsampling in image compression
Autori
Vujović, Igor ; Kuzmanić, Ivica
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 47th International Symposium ELMAR-2005
/ Grgić, Mislav ; Kos, Tomislav ; Grgić, Sonja - Zadar : Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2005, 99-102
ISBN
953-7044-04-1
Skup
47th International Symposium on Electronics in Marine, ELMAR-2005
Mjesto i datum
Zadar, Hrvatska, 08.06.2005. - 10.06.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
wavelet; image processing; wavelet compression
Sažetak
Wavelet downsampling is a method of data compression. However, it is very possible that part of information might be lost when such method is used. These loses should be compensated by interpolation in reconstruction algorithm. Simple method of interpolation is used in this paper. Reconstruction algorithm was tested. The goal is to find out how much of downsampling specific data can take without undermining the purpose. For example, how much can be lost in medical image without change in diagnosis. The study can be repeated in different applications. We used the simplest wavelet - Haar. The results show that X-ray pulmonary images can be downsampled up to 10th level without change in diagnosis. In computer memory space, that means that image from size of approximately 4, 5 MB can be reduced to the size of approximately 35 KB or 128 times.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Pomorski fakultet, Split