Pregled bibliografske jedinice broj: 264214
Classification and Blending Prediction for Lossless Image Compression
Classification and Blending Prediction for Lossless Image Compression // Electronic Proceedings 13th IEEE Mediterranean Electrotechnical Conference
Benalmadena: IEEE Region 8, Spain Section, 2006. str. 486-489 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 264214 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Classification and Blending Prediction 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
Electronic Proceedings 13th IEEE Mediterranean Electrotechnical Conference
/ - Benalmadena : IEEE Region 8, Spain Section, 2006, 486-489
Skup
MELECON 2006, 13th IEEE Mediterranean Electrotechnical Conference
Mjesto i datum
Málaga, Španjolska; Benalmádena, Španjolska, 16.05.2006. - 19.05.2006
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lossless image compression; Predictive coding; Adaptive predictors; Pixel classification
Sažetak
In this paper we propose a new adaptive prediction scheme based on the blending of multiple static predictors on dynamically classified causal context of neighboring pixels. The idea of predictor blends is further expanded through the determination of blending context that changes its shape on a pixel-by-pixel basis using simple classification technique, thus allowing the modeling of more complex image structures such as nontrivially oriented edges, the periodicity and coarseness of textures. Typical natural images are characterized as being composed of image regions with different local properties. The predictor estimates those properties around the currently unknown pixel and adjusts itself so that the presence of detected properties affect the way the final prediction is made.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
