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

Abstract

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.

An Original Accurate Theoretical and Numerical Approach to Redefine a Wide Class of Digital Signals

“…13,21,22 This research is strongly supported by Academic institutions as well as by many Institutes of research. [15][16][17] …”

“…The¯eld of medical research could bene¯t greatly from this innovative technology, in the area of image vectorization, for instance there has already been some progress in this direction. 16 Some advancement with this technology has been introduced for the¯rst time in the current literature. We can to obtain an Analog signal as a¯nite sum of digital ones with a very fast numerical process of convergence.…”