Dispersed Error Control based on Error Filter Design for Improving Halftone Image Quality
The error diffusion method generates worm artifacts,
and weakens the edge of the halftone image when the continuous gray
scale image is reproduced by a binary image. First, to enhance the
edges, we propose the edge-enhancing filter by considering the
quantization error information and gradient of the neighboring pixels.
Furthermore, to remove worm artifacts often appearing in a halftone
image, we add adaptively random noise into the weights of an error
filter.
[1] K. Henry, "Digital color halftoning," SPIE and IEEE Press, 1999.
[2] R. Flopyd and L. Steinberg, "An adaptive algorithm for spatial
grayscale," in Proc. Soc. Image Display, vol. 17, 1976.
[3] Z. Fan and R. Eschback, "Limit cycle behavior of error diffusion," in
Proc. Int. Conf. Image Processing, vol.2, pp.1041-1045, 1994.
[4] J. F. Jarvis, C. N. Judice, and W. H. Ninke, "A survey of techniques for
the display of continuous-tone pictures on bilevel displays," in Proc.
Comp. Graph. Image, vol.5, pp.13-40, 1976.
[5] X. Li, "Edge-directed error diffusion halftoning," IEEE Signal
Processing Letters, vol.12, no.11, 2006.
[6] T. Mitsa and K. J. Parker, "Digital halftoning technique using a blue
noise mask," J. Opt, Soc. Amer, vol. 9, pp.1920-1929, 1992.
[7] R. Escbback, Z. Fan, K. T, Knox and G. Marcu, "Threshold modulation
and stability in error diffusion," IEEE Signal Processing Magzine,
vol.20, pp. 39-50, 2003.
[8] N. D. Venkata, B. L. Evans, "Adaptive threshold modulation for error
diffusion halftoning," IEEE Trans. Image Processing, vol.10, no.1,
pp.104-116, 2001.
[9] T. Liu, "Probabilistic error diffusion for image enhancement," IEEE
Trans. Consumer Electronics, vol. 53, no.2, pp.528-534, 2007.
[1] K. Henry, "Digital color halftoning," SPIE and IEEE Press, 1999.
[2] R. Flopyd and L. Steinberg, "An adaptive algorithm for spatial
grayscale," in Proc. Soc. Image Display, vol. 17, 1976.
[3] Z. Fan and R. Eschback, "Limit cycle behavior of error diffusion," in
Proc. Int. Conf. Image Processing, vol.2, pp.1041-1045, 1994.
[4] J. F. Jarvis, C. N. Judice, and W. H. Ninke, "A survey of techniques for
the display of continuous-tone pictures on bilevel displays," in Proc.
Comp. Graph. Image, vol.5, pp.13-40, 1976.
[5] X. Li, "Edge-directed error diffusion halftoning," IEEE Signal
Processing Letters, vol.12, no.11, 2006.
[6] T. Mitsa and K. J. Parker, "Digital halftoning technique using a blue
noise mask," J. Opt, Soc. Amer, vol. 9, pp.1920-1929, 1992.
[7] R. Escbback, Z. Fan, K. T, Knox and G. Marcu, "Threshold modulation
and stability in error diffusion," IEEE Signal Processing Magzine,
vol.20, pp. 39-50, 2003.
[8] N. D. Venkata, B. L. Evans, "Adaptive threshold modulation for error
diffusion halftoning," IEEE Trans. Image Processing, vol.10, no.1,
pp.104-116, 2001.
[9] T. Liu, "Probabilistic error diffusion for image enhancement," IEEE
Trans. Consumer Electronics, vol. 53, no.2, pp.528-534, 2007.
@article{"International Journal of Electrical, Electronic and Communication Sciences:51398", author = "Sang-Chul Kim and Sung-Il Chien", title = "Dispersed Error Control based on Error Filter Design for Improving Halftone Image Quality", abstract = "The error diffusion method generates worm artifacts,
and weakens the edge of the halftone image when the continuous gray
scale image is reproduced by a binary image. First, to enhance the
edges, we propose the edge-enhancing filter by considering the
quantization error information and gradient of the neighboring pixels.
Furthermore, to remove worm artifacts often appearing in a halftone
image, we add adaptively random noise into the weights of an error
filter.", keywords = "Artifact suppression, Edge enhancement, Error
diffusion method, Halftone image", volume = "5", number = "11", pages = "1422-6", }