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首页> 外文期刊>Journal of Imaging Science and Technology >High Precision Scanner/Printer Calibrations in Sub-divided Color Spaces
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High Precision Scanner/Printer Calibrations in Sub-divided Color Spaces

机译：细分色彩空间中的高精度扫描仪/打印机校准

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摘要

A variety of color calibration technologies have been developed for input and output devices. Linear or nonlinear matrices have been conveniently applied to correct the color filter's mismatch with color matching function in scanners or suppress the cross- talk by unwanted absorption of colorants in printers. The color matching accuracy is expected to be further improved when the nonlinear matrices are optimized into subdivided smaller color spaces than in single matrix of the entire color space. This article proposes a new method for partitioning the color space into sub-spaces divided by the combinations of luminance, chrominance, radius, or hue angle in CIELAB space so that each sub space includes the constant number of color samples. Linear or nonlinear color correction functions are applied to each subdivided space and the coefficient matrices are optimized individually by the method of least squares. The new method resulted in the high precision color matching with rms color differences △Eab*(rms) < 0.5 for flat bed scanner and △Eab(rms) ≈ 2.0 for inkjet printer. The color matching accuracies could approach the colorimetric measurement errors in scanners and mechanical stabilities in printers by the proposed subspace division methods.
机译：已经针对输入和输出设备开发了多种颜色校准技术。线性或非线性矩阵已被方便地应用于通过扫描仪中的色彩匹配功能校正滤色镜的失配，或通过打印机中着色剂的不必要吸收来抑制串扰。当将非线性矩阵优化为细分的较小的颜色空间（而不是整个颜色空间的单个矩阵）时，可以期望进一步提高颜色匹配精度。本文提出了一种将颜色空间划分为子空间的新方法，该子空间由CIELAB空间中的亮度，色度，半径或色相角的组合划分，从而每个子空间都包含恒定数量的颜色样本。将线性或非线性色彩校正函数应用于每个细分空间，并通过最小二乘法分别对系数矩阵进行优化。这种新方法可实现高精度色彩匹配，平板扫描仪的均方根色差△Eab *（rms）<0.5，喷墨打印机的△Eab（rms）≈2.0。通过提出的子空间划分方法，颜色匹配精度可以接近扫描仪中的比色测量误差和打印机中的机械稳定性。

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