打印機(jī)外文翻譯--奧普蒂化的光譜紐格伯爾模型打印機(jī)特性-其他專業(yè)-資料下載頁(yè)
2025-01-19 00:32本頁(yè)面
【導(dǎo)讀】射或刺激值指定。該紐格伯爾模式已被廣泛用于預(yù)測(cè)的半色調(diào)彩色打印機(jī)色反。本文是介紹和比較優(yōu)化紐格伯爾模型的技術(shù)。這些措施包括尼爾森因素的優(yōu)?；@歸因于光的散射及估計(jì)該點(diǎn)區(qū)域并擴(kuò)展到精確位置的功能。描述了優(yōu)化紐格伯爾初選使用加權(quán)譜回歸。使用尤爾一尼爾森因子，細(xì)。微的的框架，并使譜回歸模型的準(zhǔn)確度大大提高。這種關(guān)系，我們稱之為打印機(jī)特性的功能，往往是得到。近似于用打印機(jī)型號(hào)的特征函數(shù)。印機(jī)可以實(shí)現(xiàn)定性并相對(duì)較少的測(cè)量。打印機(jī)的模型精度顯然取決于模型中的假。反相的紐格伯爾方程。當(dāng)著色劑數(shù)量超過(guò)3，問(wèn)題就變得病態(tài)數(shù)。在這項(xiàng)工作中，只有前進(jìn)定性問(wèn)題的。各種方法已經(jīng)被提出了提高原紐格伯爾方程的準(zhǔn)確性。維賈諾表明，而不是在紐格伯爾方程。要地區(qū)覆蓋范圍。在紐格伯爾方程'預(yù)測(cè)從任意作為一種已知的基礎(chǔ)上為2n的色。色覆蓋，這些基礎(chǔ)色將稱為紐格伯爾初選。噴墨機(jī)，膠印機(jī)等更具有效性。
【正文】 vered by transitory regions, and the model breaks down. The corrections discussed in Sec. 3 partially account for soft transitions。 nevertheless, the reliability of the model has been seen to be greatest with clus?tered dot screens in the range of 300400 halftone dots per inch. 8 Conclusions In this paper, several printer models based on the Neuge?bauer equations have been described and pared. A new technique has been proposed for optimizing the spectral Neugebauer primaries using least squares regression. The various models offer different tradeoffs between plex?ity and accuracy. Table 1 summarizes these tradeoffs in terms of the number of measurements required to derive a given model and the resulting accuracy. Generally, model accuracy is proportional to the number of measurements。 however one can easily identify cases of diminishing re?turns. The significant gains e from using the YuleNielsen correction, and either the cellular framework or the global spectral regression model. The number of measure?ments required in the cellular model increases exponen?tially with the number of cells, while the gain in accuracy diminishes. The case of 34=81 primaries is often an ac?ceptable tradeoff. The locally weighted regression results in a significant increase in putational cost (not shown in Table 1), with little gain in accuracy over the global regres?sion. The mathematical interpretation of performing regres?sion is that it affords an extra degree of freedom in the model (., the primaries), and hence a superior fit to 4 em?pirical data. From a study of plots of the spectral primaries, such as Figs. 10 and 11, no trend has been observed from measured to regressed functions. Hence it is difficult to attach physical significance to these plots, other than to point out that linear regression over a well chosen sample set will likely result in an averaging of the spectral mea?surement noise, and hence a more robust prediction. This work suggests several further extensions. Spectral regression applied to the cellular framework may lead to improvement in model accuracy with no additional mea?surements. A joint optimization of the spectral primaries, dot area functions, and YuleNielsen factor may lead to superior results over the current approach where the n fac?tor is optimized separately. It is physically plausible that the scattering of light within the substrate is wavelength dependent。 hence an extension of the spectral regression model that allows n to be a function of X may lead to a more accurate model. However, it is important to always bear in mind the tradeoff between the plexity of a physical model and the accuracy achievable in a practical printing system. Finally, it would be worthwhile to examine the validity of these models for printing technologies other than xerography, ., inkjet, offset press, etc.
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