Implementing an innovative theoretical proposal with optimization in the time of computational processing involving image vectorization techniques

Image Vectorization methodology now a day is based on multi-points representation. This technique requires intense digital processing mainly to better represent regions of the image where different surfaces or solids come together creating new boundaries as part of the representation process for a given complex image. When considering the market need for always more intense and dynamic sequence of 3D images the required processing time becomes a limitation to be overcome. The intense digital processing currently necessary will be greatly reduced under the new proposed Image Vectorization algorithm that is proposed by using the DNAx approach. The numerical process proposed for the Image Vectorization implemented using this nonlinear techniques here proposed allows a different approach that will enhance for instance the gaming experience among others. The processing time for equivalent images will be significantly reduced, and as a direct consequence the image quality will significantly increase.