Context adaptive lossless and near-lossless coding for digital angiographies.
This paper presents a context adaptive coding method for image sequences in hemodynamics. The proposed method implements motion compensation through of a two-stage context adaptive linear predictor. It is robust to the local intensity changes and the noise that often degrades these image sequences, and provides lossless and near-lossless quality. Our preliminary experiments with lossless compression of 12 bits/pixel studies indicate that, potentially, our approach can perform 3.8%, 2% and 1.6% better than JPEG-2000, JPEG-LS and the method proposed in [1], respectively. The performance tends to improve for near-lossless compression.
dos Santos
Rafael A P
RA
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Caixa Postal 15064, 91501-970, Porto Alegre, RS, Brasil. rapsantos@inf.ufrgs.br
Scharcanski
Jacob
J
D000465:Algorithms; D000792:Angiography / Q000379:methods*; D044962:Data Compression / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording / Q000379:methods*