Lossless and near-lossless digital angiography coding using a two-stage motion compensation approach.
This paper presents a two-stage motion compensation coding scheme for image sequences in hemodynamics. The first stage of the proposed method implements motion compensation, and the second stage corrects local pixel intensity distortions with a context adaptive linear predictor. The proposed method is robust to the local intensity distortions and the noise that often degrades these image sequences, providing lossless and near-lossless quality. Our experiments with lossless compression of 12bits/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 by Scharcanski [1], respectively. The performance tends to improve for near-lossless compression. Therefore, this work presents experimental evidence that for coding image sequences in hemodynamics, an adequate motion compensation scheme can be more efficient than the still-image coding methods often used nowadays.
dos Santos
Rafael A P
RA
Universidade Federal do Rio Grande do Sul , Caixa Postal 15064, 91501-970 Porto Alegre, RS, Brazil. rapsantos@inf.ufrgs.br
Scharcanski
Jacob
J
D000465:Algorithms; D000792:Angiography / Q000379:methods*; D016477:Artifacts; D044962:Data Compression / Q000379:methods*; D006801:Humans; D009038:Motion; D011856:Radiographic Image Enhancement / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity