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Image Graininess via Flatbed Scanner and Image Segmentation

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Granularity is one of the most important visual artifacts to evaluate the performance of an imaging system, including a printer. At present, granularity-measuring techniques can only be applied on patches with uniform color. However, human can easily perceive graininess on any image; Hence, in this paper, we propose an algorithm to quantify image graininess. First, a flatbed scanner is adopted for its capability to capture large image area. A short-time Fourier transform technique is devised to accurately remove color screen halftone signal without any prior knowledge of the adopted screen signals. At last, users can pinpoint the area of interest to measure color graininess based on CIEDE-2000.
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Document Type: Research Article

Publication date: 2005-01-01

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  • For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.

    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 paper for details.

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