Image compression of natural images using artificial gene regulatory networks
Martin A. Trefzer, Tüze Kuyucu, Julian Francis Miller, Andy M. Tyrrell · 2010
A novel approach to image compression using a gene regulatory network (GRN) based artificial developmental system (ADS) is introduced. The proposed algorithm exploits the fact that a series of complex organisms (≡ developmental states) can be represented via a GRN description and the indices of the developmental steps in which they occur. Organisms are interpreted as tiles of an image at each developmental step which results in the (re-)construction of an image during the developmental process. It is shown that GRNs are suitable for image compression and achieve higher compression rates than JPEG when optimised for a particular image. It is also shown that the same GRN has the potential to encode multiple images, each represented by a different series of numbers of developmental steps.