Abstract
The reconstruction of edge information using the prevailing error diffusion halftoning is represented as weak in visual and objective measuring criteria. In the previous work, an excellent improvement in reconstructing edge information of original image into belevel-toned image was achieved by adding an edge enhancing filter to the original error diffusion method. In spite of such effectiveness, the edge enhancing method made degradation in general information representing average tone of original image and even in edge information when excessive edge enhancing parameter is applied. In this paper, we seek a novel edge enhanced error diffusion method to preprocess original image so that further enhance edge information while preserving the good characteristic of the original error diffusion in general information. To confirm the achievement of the proposed method, we compare the method with both the standard error diffusion and the conventional edge enhanced error diffusion for Lena image in various objective measuring criteria.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Floyd, R.W., Steinberg, L.: An Adaptive Algorithm for Spatial Greyscale. SID 17, 75–77 (1976)
Counse, K.R., Roska, T., Chuam, L.O.: Image Halftoning with Cellular Neural Networks. IEEE Trans. Circuits and Systems-II 40, 267–283 (1992)
Jarvis, J., Judice, C., Ninke, W.: A Survey of Techniques for Display of Continuous-Tone Pictures on Bilevel Displays. Comp. Graph. Image Processing 5, 13–40 (1976)
Wong, P.W.: Adaptive Error Diffusion and Its Application in Multiresolution Rendering. IEEE Trans. Image Processing 5, 1184–1196 (1996)
Sullivan, J., Miller, R., Pios, G.: Image Halftoning Using a Visual Model in Error Diffusion. J. Opt. Soc. Am. A. 10, 1714–1724 (1993)
Pappas, T.N., Dong, C.K., Neuhoff, D.L.: Measurement of Printer Parameters for Model-Based Halftoning. Journal of Electronic Imaging 2, 193–204 (1993)
Eschbach, R., Knox, K.: Error Diffusion Algorithm with Edge Enhancement. J. Opt. Soc. Am. A. 8, 1884–1890 (1991)
Lau, D.L., Arce, G.R., Gallagher, N.C.: Green-Noise Digital Halftoning. Proceedings of IEE 86, 2424–2444 (1998)
Pappas, T.N., Neuhoff, D.L.: Least-Squares Model-Based Halftoning. IEEE Trans. on Image Processing 8, 1102–1116 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hwang, BW., Kang, TH., Lee, TS. (2004). Improved Edge Enhanced Error Diffusion Based on First-Order Gradient Shaping Filter. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_49
Download citation
DOI: https://doi.org/10.1007/978-3-540-24677-0_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22007-7
Online ISBN: 978-3-540-24677-0
eBook Packages: Springer Book Archive