本文關(guān)鍵詞：多墨打印系統(tǒng)的Neugebauer光譜特征化模型研究　出處：《浙江大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 顏色復(fù)現(xiàn) 光譜重構(gòu) 多墨打印系統(tǒng)特征化 胞元式Neugebauer模型 Yule-Nielsen效應(yīng) 分色準(zhǔn)則 打印系統(tǒng)標(biāo)定

【摘要】：隨著光譜成像技術(shù)的發(fā)展,打印系統(tǒng)光譜特征化研究也逐漸成為相關(guān)領(lǐng)域的研究重點。重構(gòu)目標(biāo)色的光譜反射比以復(fù)現(xiàn)該顏色的方法具有諸多優(yōu)點,如預(yù)測精度高、可避免同色異譜現(xiàn)象等。相對于傳統(tǒng)的四墨打印機(jī),多墨打印系統(tǒng)具有更大的色域、更多的候選配方組合,為光譜圖像的精確復(fù)現(xiàn)提供了很好的硬件平臺。因此,本文采用胞元式Y(jié)ule-Nielsen(?)指數(shù)修正的光譜式Neugebauer(?)莫型(簡稱為CYNSN模型)對多墨打印系統(tǒng)的設(shè)備特征化研究具有重要的理論意義和應(yīng)用價值。 首先,本研究實驗測定了12墨彩色打印系統(tǒng)HP Designjet Z3200ps的各項物理特性,包括墨水干燥時間、墨水穩(wěn)定性、均勻性、重復(fù)性、階調(diào)響應(yīng)曲線、色域以及墨量限制等。然后,通過設(shè)計并制作訓(xùn)練樣本建立了5個三墨和6個四墨正向CYNSN模型,同時對網(wǎng)點擴(kuò)大模型和Yule-Nielsen n-facto進(jìn)行了優(yōu)化,最終確定參數(shù)設(shè)置,各正向模型的平均色差△Eoo(D65,10°)均小于或接近1。同時,基于線性回歸迭代算法和J.Guo等人提出的胞元搜索算法,建立了四類反向CYNSN模型,均具有優(yōu)異的可逆性,大部分模型的平均色差△E00(D65,10°)為0.2左右。以其中一類反向模型為例,通過打印預(yù)測配方測試了各反向CYNSN模型的實際精度,且達(dá)到了較好的復(fù)現(xiàn)效果,其平均同色異譜指數(shù)均小于0.7,但此類反向模型具有一定的系統(tǒng)誤差。此外,比較了光譜式與三刺激值式CYNSN模型的精度,驗證了光譜式模型具有更高的預(yù)測精度、且可以有效減少同色異譜現(xiàn)象。 分色準(zhǔn)則算法是一種如何從候選配方中選擇最優(yōu)配方的方法。針對所建立的11個CYNSN模型,本課題比較和分析了7種基于光譜匹配精度指標(biāo)的分色準(zhǔn)則算法。實驗結(jié)果顯示7種分色算法對打印樣本的預(yù)測精度和實際精度較為一致,因此只需采用最簡單的算法即最小△Eoo(D65,10°)即可。對于孟塞爾檢驗樣本,結(jié)合一個色差和兩個同色異譜指數(shù)的指標(biāo)avgE00M1分色方法的表現(xiàn)最好。除了很少一部分低明度的打印樣本和位于中高明度或彩度的黃色孟塞爾色樣,avgE00MI對其它色區(qū)的絕大部分樣本的實際精度都較高,其平均色差和同色異譜指數(shù)均在2附近。 本課題提出了基于波長校準(zhǔn)和主元分析法的兩類正向和反向CYNSN模型標(biāo)定算法。兩類方法均通過新墨盒打印少量標(biāo)定樣本建立與原墨盒顏色特性之間的關(guān)系,實現(xiàn)了以現(xiàn)有特征化模型在新打印環(huán)境中的高精度預(yù)測。通過對檢驗樣本標(biāo)定精度的比較分析,基于主元分析法的PPM (printpredict model)對現(xiàn)有的正向CYNSN模型標(biāo)定效果最好,相對于基于波長校準(zhǔn)的算法分別下降了0.11～1.84個△E00單位(平均為0.62),有些情況下甚至高于原墨盒的原始精度,因為其對墨水顏色變化進(jìn)行高精度建模,同時還補(bǔ)償了部分現(xiàn)有正向CYNSN模型的系統(tǒng)誤差。至于反向CYNSN模型,兩類方法均達(dá)到了預(yù)期的效果,基于波長校準(zhǔn)的算法精度相對更高,而基于主元分析法的方法在個別情況下對人眼敏感波段的標(biāo)定精度尚不理想。 最后,對本論文研究的主要內(nèi)容和結(jié)論進(jìn)行了總結(jié),并對后繼進(jìn)一步的研究工作做出了展望。
[Abstract]:With the development of spectral imaging technology, the study of spectral characteristics of the system of printing has become a focus of research in related fields. The spectral reflectance reconstruction of target color than the color reproduction method has many advantages, such as high accuracy, can avoid the phenomenon of metamerism. Compared with the four traditional ink printer, printing system with multiple the larger color gamut, combination of the candidate formula more, provides a good hardware platform for the precise reproduction of spectral images. Therefore, the cell type Yule-Nielsen (?) Neugebauer spectrum correction index (?) Mo type (CYNSN model) to study on multiple device characteristic printing system has important the theoretical significance and application value.
First of all, the physical properties of 12 color ink printing system of HP Designjet Z3200ps were determined in this study, including the ink drying time, ink stability, uniformity, repeatability, tone response curve, color gamut and ink limit. Then, 5 three and 6 four ink ink forward model is established through CYNSN design and the production of training samples, while the dot gain model and Yule-Nielsen n-facto were optimized, and ultimately determine the parameter setting, the average color difference Delta Eoo forward model (D65,10 degree) were less than or close to 1. at the same time, the cell search algorithm based on linear regression and iterative algorithm proposed by J.Guo et al, established four kinds of reverse CYNSN model that has excellent reversibility, the average color difference Delta E00 most model (D65,10 degree) is about 0.2. A kind of reverse model as an example, through the actual test print prediction formula fine each reverse CYNSN model Degree, and to achieve a better reproduction, the average metamerism index were less than 0.7, but the reverse model has a certain system error. In addition, compared with the spectral type three stimulus values CYNSN the accuracy of the model, verify the spectral model has higher prediction accuracy, and can effectively reduce the same metamerism.
The separation criterion is a formula from the candidate selection method to the optimal formula. For the 11 CYNSN model, this paper compares and analyzes the 7 kinds of colour separation criterion based on spectral matching accuracy. The experimental results show that 7 kinds of printing color separation algorithm samples the prediction accuracy and the actual accuracy is consistent therefore only by the most simple algorithm which is the minimum Eoo (D65,10 DEG). The Munsell test samples, a combination of color and two metamerism index avgE00M1 color separation method is the best. In addition to a small part of low lightness print samples and in the clever degree or saturation of the Munsell color yellow like the actual accuracy of avgE00MI on the other color area most of the sample is higher, the average color difference and metamerism index were near 2.
This paper puts forward the calibration algorithm for wavelength calibration and the principal component analysis of the two types of forward and reverse CYNSN model based on two methods. Through the new cartridge to print a small set of calibration samples and the relationship between the original ink color characteristics, achieve high prediction accuracy in the new printing environment using the existing characteristic model. Based on the test sample calibration precision, comparative analysis, principal component analysis method based on PPM (printpredict model) to forward the existing CYNSN model calibration effect is best, relative to the wavelength calibration algorithm based on decreased by 0.11 to 1.84 E00 units (average 0.62), the original accuracy in some cases even higher than the original cartridge, because its high precision modeling of ink color change, but also the system error compensation part of the existing forward CYNSN model. As for the reverse CYNSN model, two kinds of methods to achieve the desired effect, radical The accuracy of the Yu Bo length calibration algorithm is relatively high, while the method based on the principal component analysis is not ideal for the calibration accuracy of the human eye sensitive band in some cases.
Finally, the main contents and conclusions of this paper are summarized, and the future further research work is prospected.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP334.8

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