Image Compression predicated on Recurrent Iterated Function Systems
This work addresses image compression for applications requiring high visual quality, but it appears incremental as it builds on existing RIFS methods.
The paper tackled the problem of improving image compression by developing new recurrent iterated function systems (RIFSs) with vertical contraction factors and nonlinear transformations, resulting in more natural-looking images.
Recurrent iterated function systems (RIFSs) are improvements of iterated function systems (IFSs) using elements of the theory of Marcovian stochastic processes which can produce more natural looking images. We construct new RIFSs consisting substantially of a vertical contraction factor function and nonlinear transformations. These RIFSs are applied to image compression.