Publication
ISCAS 2011
Conference paper

GPU-enabled parallel processing for image halftoning applications

View publication

Abstract

Programmable Graphics Processing Unit (GPU) has emerged as a powerful parallel processing architecture for various applications requiring a large amount of CPU cycles. In this paper, we study the feasibility for using this architecture for image halftoning, in particular implementing computationally intensive neighborhood halftoning algorithms such as error diffusion and Direct Binary Search (DBS). We show that it is possible to deliver very high performance even for high speed printers. © 2011 IEEE.

Date

Publication

ISCAS 2011

Authors

Share