Naslov
A NEW ADAPTIVE BLENDING PREDICTOR FOR LOSSLESS IMAGE COMPRESSION

Autori
Knezović, Josip ; Kovač, Mario ; Mlinarić, Hrvoje

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proc. ITI 4th International Conference on Information and Communications Technology / Mohamed, A. Salem ; Mahmoud T. El-Hadidi - Kairo : Institute of Electrical and Electronics Engineers (IEEE), 2006, 89-100

ISBN
0-7803-9770-3

Skup
Information Processing in the Service of Mankind and Health: ITI 4th International Conference on Information and Communications Technology (ICICT2006)

Mjesto i datum
Kairo, Egipat, 10.12.2006. - 12.12.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
kompresija medicinski slikovnih podataka; metode predviđanja; kontekstualno modeliranje slikovnih podataka
(Lossless Image Compression; Predictive Coding; Predictor Blends)

Sažetak
Medical image compression is a growing need in the era of large amount of image data stored in contemporary health care systems. In the article we propose a novel method for lossless medical image compression based on predictive models and entropy coding. The predictor models the image properties around the current, unknown pixel and adjusts itself to the local image region. The main contribution of this work is the enhancement of the well known approach of predictor blends through highly adaptive determination of blending context on a pixel-by-pixel basis using classification technique. This allows modeling of more complex image structures such as nontrivially oriented edges and the periodicity and coarseness of textures.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA