An Efficient Progressive Coding Method for Arbitrarily-Sampled Image Data

A simple highly-effective method for progressive lossy-to-lossless coding of arbitrarily-sampled image data is proposed. This scheme is based on a recursive quadtree partitioning of the image domain along with an iterative sample-value averaging process. The proposed method is shown to offer much better progressive coding performance than a previously-proposed state-of-the-art coding method.