Computational Image Marking on Metals
via Laser Induced Heating

Sebastian Cucerca1     Piotr Didyk2     Hans-Peter Seidel1     Vahid Babaei1

1MPI Informatics    2Universit√† della Svizzera italiana


Laser irradiation induces colors on some industrially important materials, such as stainless steel and titanium. It is however challenging to find marking configurations that create colorful, high-resolution images. The brute-force solution to the \emph{gamut exploration} problem does not scale with the high-dimensional design space of laser marking. Moreover, there exists no color reproduction workflow capable of reproducing color images with laser marking. Here, we propose a measurement-based, data-driven performance space exploration of the color laser marking process. We formulate this exploration as a search for the Pareto optimal solutions to a multi-objective optimization and solve it using an evolutionary algorithm. The explored set of diverse colors is then utilized to mark high-quality, full-color images.