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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.

Document Type: Research Article

Publication date: January 1, 2005

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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