Neugebauer Models for Color Error Diffusion Halftoning
نویسندگان
چکیده
منابع مشابه
Color Error-Diffusion Halftoning
Grayscale halftoning converts a continuous-tone image (e.g., 8 bits per pixel) to a lower resolution (e.g., 1 bit per pixel) for printing or display. Grayscale halftoning by error diffusion uses feedback to shape the quantization noise into high frequencies where the human visual system (HVS) is least sensitive. In color halftoning, the application of grayscale error-diffusion methods to the in...
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A recent trend in color halftoning is to explicitly control color overlapping, dot positioning and dot coloring in different stages of the halftoning process. As feature-preserving multiscale error diffusion (FMED) shows its capability and flexibility in dot positioning in both binary and multi-level halftoning applications, naturally it becomes a potential candidate in the development of new c...
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Traditional error diffusion halftoning is a high quality method for producing binary images from digital grayscale images. Error diffusion shapes the quantization noise power into the high frequency regions where the human eye is the least sensitive. Error diffusion may be extended to color images by using error filters with matrix-valued coefficients to take into account the correlation among ...
متن کاملDamera-venkata, Evans and Monga: Color Error Diffusion Ieee Signal Processing Magazine Color Error Diiusion Halftoning
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Grayscale digital image halftoning quantizes each pixel to one bit. In error diffusion halftoning, the quantization error at each pixel is filtered and fed back to the input in order to diffuse the quantization error among the neighboring grayscale pixels. Error diffusion introduces nonlinear distortion (directional artifacts), linear distortion (sharpening), and additive noise. Threshold modul...
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ژورنال
عنوان ژورنال: Journal of Imaging
سال: 2020
ISSN: 2313-433X
DOI: 10.3390/jimaging6040023