The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Dithering with blue noise
Abstract
Digital halftoning, also referred to as spatial dithering is a method of rendering the illusion of continuous-tone pictures on displays that are capable of only producing binary picture elements. The concept of blue noise-high-frequency white noise-is introduced and found to have desirable properties for halftoning. Efficient algorithms for dithering with blue noise, based on perturbed error diffusion, are developed. The nature of dither patterns produced is extensively examined in the frequency domain. Metrics for analyzing the frequency content of aperiodic patterns for both rectangular and hexagonal grids are developed; blue-noise dithering is found to be ideally suited for rectangular grids. Several carefully selected digitally produced examples are included.>
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Cites
The Art of Computer Programming
Worlton, W. J. (1968) · Nuclear Science and Engineering · doi:10.13182/nse68-a19548 · Cited by 2,251
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Multidimensional digital signal processing
Dimolitsas, S. (1985) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1985.1164712 · Cited by 956
Ulichney, R. (1987) · The MIT Press eBooks · doi:10.7551/mitpress/2421.001.0001 · Cited by 672
Self-citation‘1/fnoise’ in music and speech
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A survey of techniques for the display of continuous tone pictures on bilevel displays
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’’1/f noise’’ in music: Music from 1/f noise
Voss, R. F., & Clarke, J. (1978) · The Journal of the Acoustical Society of America · doi:10.1121/1.381721 · Cited by 379
Picture coding using pseudo-random noise
Roberts, L. (1962) · IEEE Transactions on Information Theory · doi:10.1109/tit.1962.1057702 · Cited by 339
Noise in Physical Systems and 1/f Noise 1985
(1986) · Elsevier eBooks · doi:10.1016/c2009-0-08523-7 · Cited by 187
Cited by
Sharma, G., & Trussell, H. J. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.597268 · Cited by 440
Deep neural network for halftone image classification based on sparse auto-encoder
Zhang, Y., Zhang, E., & Chen, W. (2016) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2016.01.032 · Cited by 108
Tu, Z., Lin, J., Wang, Y., Adsumilli, B., & Bovik, A. C. (2020) · IEEE Signal Processing Letters · doi:10.1109/lsp.2020.3024985 · Cited by 31
Metadata
- Authors
- Ulichney, R. A.
- Venue
- Proceedings of the IEEE
- Published
- 1988
- Volume
- 76
- Issue
- 1
- Pages
- 56-79
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2006045909
- Cited by
- 414
- References
- 18
- FWCI
- 2.02
- Type
- journal article
- Language
- en
- Open access
- closed
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