Colour plane synchronisation in colour error diffusion
Donald G. Bailey
- 26 Oct 1997
- Vol. 1, pp 818-821
TL;DR: This paper demonstrates that a threshold deviation on 15% is sufficient to give the desired linear relationship between desynchronisation and saturation, and that the resynchronisation occurs within one or two pixels of an edge between a saturated and unsaturated region.
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Abstract: On a bi-level colour device, only eight distinct colours (including black and white) are able to be represented. One common method of mapping image data to such a device is to use error diffusion techniques. These techniques diffuse the error from representing a particular pixel to adjacent unprocessed pixels, with the effect that locally the average pixel value closely approximates that of the original image. However when applied to colour images, the pattern of dots within the three colour planes loose synchronisation, resulting in coloured patterns within regions of low saturation. This paper demonstrates that this problem may be overcome by modulating the threshold level by the image intensity. The results presented show that a threshold deviation on 15% is sufficient to give the desired linear relationship between desynchronisation and saturation, and that the resynchronisation occurs within one or two pixels of an edge between a saturated and unsaturated region.
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Citations
Local Filters
Donald G. Bailey
- 05 Sep 2023
TL;DR: Local filters extend point operations by applying a function of pixel values within a local neighbourhood. Border windows are managed by several approaches. Filter functions are weighted sums of pixel values within the window, with the filter kernel determining the function.
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James D. Foley,Andries van Dam +1 more
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TL;DR: The foundations of interactive computer graphics are studied in detail in the second part of this monograph on computer graphics theory andUX.
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Digital halftones by dot diffusion
TL;DR: The new method, called dot diffusion, appears to avoid some deficiencies of other commonly used techniques, and it is well suited to parallel computation; but it requires more buffers and more complex program logic than other methods when implemented sequentially.
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Comparison of error diffusion methods for computer-generated holograms.
TL;DR: Different versions of the ED algorithm are compared for their pplication to computer-generated holography with respect to reconstruction errors and the overall brightness of the reconstruction.
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