Title :
An Efficient Progressive Coding Method for Arbitrarily-Sampled Image Data
Author :
Adams, Michael D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., Victoria, BC
fDate :
6/30/1905 12:00:00 AM
Abstract :
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.
Keywords :
image coding; recursive estimation; arbitrarily-sampled image data; iterative sample-value averaging process; progressive coding method; recursive quadtree partitioning; state-of-the-art coding method; Councils; Data structures; Image coding; Image sampling; Lattices; Terminology; Tree data structures; Image coding; meshes; progressive lossy/lossless;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2004516
