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Restoration of Continuous Tone Images from Digital Color Halftone Images Based on Fourier Analysis of Local Areas

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A new algorithm that restores original continuous tone images from digital halftone dot images is proposed. The algorithm enables moirĂ© free color proofing, even when the page image contains halftone pictures with unknown parameters – halftone dot period, direction, etc., or dot patterns are not regularly repeated. The proposed algorithm applies discrete Fourier transformation to each local area of an image, analyzes the halftone dot period, direction and offset, and restores the original continuous tone image. This local image analysis enables restoration of a page that consists of images screened using various directions and periods. Despite the use of local area division, the restored image does not suffer from block noise.
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Document Type: Research Article

Publication date: January 1, 2004

More about this publication?
  • 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.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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