P. CicconiRiccardo LeonardiM. Kunt
A novel coding technique which proposes the use of symmetry to reduce redundancy in images is presented. Axes of symmetry are extracted using the Principal Axes of Inertia theory and the technique is extended to non-symmetric images by the introduction of a Coefficient of Symmetry. One part of the images is then linearly predicted with respect to the chosen axis. The method is implemented in a block-based fashion in order to adapt to local symmetries on the image data. An image representation and a coding strategy is illustrated, and results are presented on real static images.
Б. В. ТитковAnatoli TikhotskijAlexandr MyborodaHelmut Buley
Xiaoping LiuJiaxiong PengMingyue DingJi Zhou