Linear color-separable human visual system models for vector error diffusion halftoning
نویسندگان
چکیده
منابع مشابه
MONGA , GEISLER , AND EVANS : HUMAN VISUAL SYSTEM MODELS 1 Linear , Color Separable , Human Visual System Models for Vector Error
|Image halftoning converts a high-resolution image to a low-resolution image, e.g. a 24-bit color image to a three-bit color image, for printing and display. Vector error di usion captures correlation among color planes by using an error lter with matrix-valued coe cients. In optimizing vector error lters, Damera-Venkata and Evans transform the error image into an opponent color space where Euc...
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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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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 ...
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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...
متن کاملDamera-venkata, Evans and Monga: Color Error Diffusion Ieee Signal Processing Magazine Color Error Diiusion Halftoning
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2003
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2002.806708