By Topic

Grayscale digital halftoning using BPSO-GA combined optimization technique

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Arpitam Chatterjee ; Department of Printing Engineering, Jadavpur University, Kolkata, India ; Kanai Ch. Paul ; Bipan Tudu

Grayscale digital halftoning is employed to display multilevel images with bi-level displays e.g. printers, LCD displays, etc. Considering 0 and 1 as black and white, respectively, this can be presented as a binary pattern generation task. This paper presents a combination of binary particle swarm optimization (BPSO) and genetic algorithm (GA) optimization and its application to grayscale digital halftoning. The search dynamics of BPSO have been employed to find best solutions in respect to the individual optimization parameters. The crossover and mutation operations of GA have been performed between the best solutions found by BPSO to obtain the optimized solutions. The optimization has been performed with the test images and the results have been presented pictorially. Objective evaluations have also been performed on the resulted images and compared with the halftones generated using state-of-art techniques.

Published in:

Image Information Processing (ICIIP), 2011 International Conference on

Date of Conference:

3-5 Nov. 2011