Scalable mesh-based interpolative coding of synthetic and natural image objects

This paper presents an object-based synthetic-natural hybrid image coding scheme, where each image object is encoded individually, provided that their boundaries are specified. This allows coding natural and synthetic image objects using different methods which are best suited their content. It also allows object-based quality scalability, in addition to mixing lossy and lossless coding modes depending the requirements of each image object. Furthermore, we propose a new object coding method using 2-D mesh-based image sampling and interpolation, followed by encoding of the interpolation error image by a traditional data/waveform coding methods. Experimental results on synthetic-natural hybrid test images are provided.