Reversible compression of HDTV images using median adaptive prediction and arithmetic coding

Methods of compressing HDTV (high-definition television) image sequences are investigated. Best results are achieved by a new combination of median adaptive intraframe prediction and arithmetic coding of the resultant prediction error. Fully reversible compression with low computational complexity is possible. The method has been used to compress the simulated progressive scan HDTV image sequence 'Kiel Harbor' to a rate less than that of an (uncompressed) interlace source. Interlaced HDTV images have been compressed to approximately 55% of their original rate. Intended applications are image storage and full-quality data exchange.<>