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.