A Dynamic Communication Algorithm for Digital Halftoning
Faculty of Computing, Health and Science
School of Computer and Information Science
We present a novel algorithm for digital halftoning. The algorithm combines a technique based on error diffusion with the use of a cost function to determine termination. Its chief advantages include the use of randomness to avoid visual artifacts in the binary image and its amenability to parallel execution. The algorithm is a member of the class of "dynamic communication algorithms" which make novel use of dynamically-routed messages to structure the execution of a program.