Contour adaptive image coding

This paper presents a new image coding framework that separates singularities based on their topological dimension: point singularities (0D), line singularities (1D) and plane singularities (2D). Contours are smooth curves corresponding to line singularities and boundaries of plane singularities. We propose to directly code contour locations in the spatial domain and spatially adapt the bases to approximate various singularities conditioned on contour locations. The key to the success of our forward adaptive coding lies in the exploitation of contour geometry while achieving spatial adaptation. Preliminary experimental results are used to demonstrate the potential of our approach.