TY - JOUR
T1 - Color error-diffusion halftoning
AU - Damera-Venkata, Niranjan
AU - Evans, Brian L.
AU - Monga, Vishal
N1 - Funding Information:
This research was supported by a U.S. National Science Foundation CAREER Award under Grant MIP-9702707.
PY - 2003/7
Y1 - 2003/7
N2 - In color halftoning, the application of grayscale error-diffusion methods to the individual colorant planes fails to exploit the human visual system (HVS) response to color noise. Ideally, the quantization error must be diffused to frequencies and colors, to which the HVS is least sensitive. Furthermore, it is desirable for the color quantization to take the colorant vector selected as the output color is perceptually the closest to the color vector being quantized. This paper discusses each of the above two design principles of color error diffusion that differentiate it from grayscale error diffusion.
AB - In color halftoning, the application of grayscale error-diffusion methods to the individual colorant planes fails to exploit the human visual system (HVS) response to color noise. Ideally, the quantization error must be diffused to frequencies and colors, to which the HVS is least sensitive. Furthermore, it is desirable for the color quantization to take the colorant vector selected as the output color is perceptually the closest to the color vector being quantized. This paper discusses each of the above two design principles of color error diffusion that differentiate it from grayscale error diffusion.
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U2 - 10.1109/MSP.2003.1215231
DO - 10.1109/MSP.2003.1215231
M3 - Article
AN - SCOPUS:85032751223
SN - 1053-5888
VL - 20
SP - 51
EP - 58
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 4
ER -