Pregled bibliografske jedinice broj: 40986
Filter Comparison in Wavelet Transform of Still Images
Filter Comparison in Wavelet Transform of Still Images // Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE'99)
Piscataway (NJ): IEEE Service Center, 1999. str. 105-110 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 40986 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Filter Comparison in Wavelet Transform of Still Images
Autori
Grgić, Mislav ; Ravnjak, Mario ; Zovko-Cihlar, Branka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE'99)
/ - Piscataway (NJ) : IEEE Service Center, 1999, 105-110
ISBN
0-7803-5662-4
Skup
IEEE International Symposium on Industrial Electronics
Mjesto i datum
Bled, Slovenija, 12.07.1999. - 16.07.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
image coding; wavelet transform; filter comparison; subjective picture quality; objective picture quality; JPEG
Sažetak
This paper discusses the features of wavelet filters in compression of still images and characteristic that they show for various image content and size. The aim of this work is to create a palette of functions (filters) for implementation of wavelet in still image processing and to emphasize the advantage of this transformation relating to today's methods. Filters taken in the test are some of the most used: Haar filter (as the basis), orthogonal Daubechies' and Battle-Lemarie filters such are Least Asymmetric, Shannon and Coiflet, and symmetric Biorthogonal filter. All these filters give various performances for images of different content. Objective and subjective picture quality characteristics of images coded using wavelet transform with different filters are given. The comparison between JPEG coded picture and the same picture coded with wavelet transform is given. For higher compression ratios it is shown that wavelet transform has better S/N than JPEG.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika