Lossless and Lossy Minimal Redundancy Pyramidal Decomposition for Scalable Image Compression Technique

Marie Babel (1) , Olivier Déforges (1) , Joseph Ronsin (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes

We present a new scalable compression technique dealing simultaneously with both lossy and lossless image coding. An original DPCM scheme with refined context is introduced through a pyramidal decomposition adapted to the LAR (Locally Adaptive Resolution) method, which becomes by this way fully progressive. An implicit context modeling of the prediction errors, due to the low resolution image representation including variable block size structure, is then exploited to the for lossless compression purpose.

Domains: Signal and Image processing; Signal and Image Processing

Marie Babel, Olivier Déforges, Joseph Ronsin. Lossless and Lossy Minimal Redundancy Pyramidal Decomposition for Scalable Image Compression Technique. Apr 2003, pp.249-252. ⟨hal-00132654⟩