Suppressing sampling moiré by least-squares prefiltering in color printing
This paper proposes an optimal prefilter which is based on a least-squares resampling technique. Such an approach requires a suitable discrete/continuous model and computes the reconstruction function which minimizes the error between the continuous representations of the images on the source and target lattice. The reconstruction function jointly takes into account the Nyquist areas of the color separations and can be used as an optimal prefilter before halftoning. Experimental results show that after prefiltering, the images are much less prone to moiré and look as sharp as without prefiltering.
Document Type: Research Article
Publication date: January 1, 2002
Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.
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