Title :
A GA-Based Image Halftoning Technique
Author :
Lo, Chih-Cheng ; Chen, Yi-Ting ; Chu, Shu-Chuan ; Pan, Jeng-Shyang
Author_Institution :
Dept. of Electron. Eng., Kaohsiung Univ. of Appl. Sci.
Abstract :
In this paper, a novel halftoning technique for image is designed with genetic algorithm (GA). It is structured on the error diffusion kernel and the resulted halftone image is compared to the one which is originated from the standard error diffusion kernel with the same method by PSNR (peak signal-to-noise ratio).
Keywords :
genetic algorithms; image processing; GA-based image halftoning technique; PSNR; error diffusion kernel; genetic algorithm; peak signal-to-noise ratio; Algorithm design and analysis; Biological cells; Filters; Genetic algorithms; Genetic engineering; Genetic mutations; Intelligent systems; Kernel; PSNR; Pixel; GA;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.351
