Bell Labs., Lucent Technol., Murray Hill, NJ.
IEEE Trans Image Process. 1997;6(7):1014-24. doi: 10.1109/83.597276.
We present a new class of models for color printers. They form the basis for model-based techniques that exploit the characteristics of the printer and the human visual system to maximize the quality of the printed images. We present two model-based techniques, the modified error diffusion (MED) algorithm and the least-squares model-based (LSMB) algorithm. Both techniques are extensions of the gray-scale model-based techniques and produce images with high spatial resolution and visually pleasant textures. We also examine the use of printer models for designing blue-noise screens. The printer models cam account for a variety of printer characteristics. We propose a specific printer model that accounts for overlap between neighboring dots of ink and the spectral absorption properties of the inks. We show that when we assume a simple "one-minus-RGB" relationship between the red, green, and blue image specification and the corresponding cyan, magenta, and yellow inks, the algorithms are separable. Otherwise, the algorithms are not separable and the modified error diffusion may be unstable, The experimental results consider the separable algorithms that produce high-quality images for applications where the exact colorimetric reproduction of color is not necessary. They are computationally simple and robust to errors in color registration, but the colors are device dependent.
我们提出了一类新的彩色打印机模型。它们构成了基于模型技术的基础，这些技术利用打印机和人眼视觉系统的特性，最大限度地提高打印图像的质量。我们提出了两种基于模型的技术，即修正的误差扩散（MED）算法和最小二乘模型基（LSMB）算法。这两种技术都是灰度级基于模型技术的扩展，可以生成具有高空间分辨率和视觉上令人愉悦的纹理的图像。我们还研究了打印机模型在设计蓝噪声屏幕中的应用。打印机模型可以考虑各种打印机特性。我们提出了一种特定的打印机模型，该模型考虑了相邻墨点之间的重叠以及油墨的光谱吸收特性。我们表明，当我们假设红色、绿色和蓝色图像规格与相应的青色、品红色和黄色油墨之间存在简单的“RGB 减一”关系时，算法是可分离的。否则，算法不可分离，修正的误差扩散可能不稳定。实验结果考虑了可分离算法，这些算法在不需要精确比色再现颜色的应用中生成高质量的图像。它们计算简单，对颜色配准错误具有鲁棒性，但颜色取决于设备。
