Pregled bibliografske jedinice broj: 114803
New Perspectives on Image Compression using a Cartoon - Texture Decomposition Model
New Perspectives on Image Compression using a Cartoon - Texture Decomposition Model // PROCEEDINGS EC-VIP-MC 2003 / Grgić, Mislav ; Grgić, Sonja (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2003. str. 359-368 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 114803 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
New Perspectives on Image Compression using a Cartoon - Texture Decomposition Model
Autori
Šprljan, Nikola ; Izquierdo, Ebroul
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
PROCEEDINGS EC-VIP-MC 2003
/ Grgić, Mislav ; Grgić, Sonja - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2003, 359-368
Skup
4th EURASIP Conference focused on Video/Image Processing and Multimedia Communications
Mjesto i datum
Zagreb, Hrvatska, 02.07.2003. - 05.07.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
multilayered image coding; wavelet transform; piecewise smooth signals; texture
Sažetak
A new method for multilayered image representation and its application in image compression are presented. The basic idea is to separate an image into two different layers having fundamentally different structures. Non-linear diffusion is used to smooth out image texture in order to obtain a large scale piecewise smooth image representation called "cartoon". The residual part is considered as "pure texture". Since the best approximations of these two structurally different image layers can be realised by different transforms, higher compression ratios are achieved using suitably chosen transforms prior to individual encoding of each layer. Transform basis tailored to each layer are derived from a comprehensive empirical study. Several experiments were conducted to evaluate the performance of the proposed approach. The results show that in most cases the proposed technique achieves objectively slightly better and subjectively superior results than wellestablished image compression algorithms.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
0036015
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Nikola Šprljan
(autor)