Image Graininess via Flatbed Scanner and Image Segmentation

机译：通过平板扫描仪和图像分割实现图像颗粒度

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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.

机译：粒度是评估成像系统（包括打印机）性能的最重要的视觉伪像之一。目前，粒度测量技术只能应用于颜色均匀的补丁。但是，人类可以很容易地在任何图像上感知到颗粒感。因此，在本文中，我们提出了一种量化图像颗粒度的算法。首先，采用平板扫描仪来捕获大图像区域。设计了一种短时傅立叶变换技术，可以在不事先了解所采用的网屏信号的情况下，准确地去除彩色网屏半色调信号。最后，用户可以根据CIEDE-2000精确定位感兴趣的区域以测量颜色的颗粒度。

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来源
《International Conference on Digital Printing Technologies: Final Program and Proceedings; 20050918-23; Baltimore,MD(US)》|2005年|P.84-88|共5页
会议地点 BaltimoreMD(US)
作者
Chunghui Kuo; Yee S. Ng;
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NexPress Solutions Inc., Rochester, New York, USA;

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原文格式 PDF
正文语种 eng
中图分类文教用品制造工业;信息处理（信息加工）;
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Image Graininess via Flatbed Scanner and Image Segmentation

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