Classification and Blending Prediction for Lossless Image Compression (CROSBI ID 520951)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Knezović, Josip ; Kovač, Mario ; Mlinarić, Hrvoje
engleski
Classification and Blending Prediction for Lossless Image Compression
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.
Lossless image compression; Predictive coding; Adaptive predictors; Pixel classification
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Podaci o prilogu
486-489-x.
2006.
objavljeno
Podaci o matičnoj publikaciji
Electronic Proceedings 13th IEEE Mediterranean Electrotechnical Conference
Benalmadena: IEEE Region 8, Spain Section
Podaci o skupu
MELECON 2006, 13th IEEE Mediterranean Electrotechnical Conference
predavanje
16.05.2006-19.05.2006
Málaga, Španjolska; Benalmádena, Španjolska