Implicit coding for very low bit rate image compression

We explore an image compression scheme that does not rely on the usual additive decomposition of an input image into a set of predefined spanning functions. The proposed scheme only encodes implicit properties of the image and reconstructs an estimate by constrained high pass energy minimization. This has particular advantages for very low bit rate perceptually oriented image compression. We show experimental results in a context where we mainly target the smooth areas and the edges of the image