Color separation criteria for spectral multi-ink printer characterization

Seven color separation criteria are evaluated and compared for multi-ink printer characterization, which is a union of five 3-ink and six 4-ink cellular Yule-Nielsen spectral Neugebauer (CYNSN) submodels. In the experimental stage, testing reflectances from printing samples and Munsell color samples are employed. The results show that the prediction and actual accuracy of all the seven selection criteria are approximately the same for printing samples. As for the Munsell samples, the combE 00 & MI outperforms other selection criteria because it combines one color difference with two metamerism indices, which are important for the heterogeneous samples during prediction.     

Novel spectral characterization method for color printer based on the cellular Neugebauer model

The cellular Yule-Nielson spectral Neugebauer （CYNSN） model to characterize a typical CMYK （i.e.,cyan,magenta,yellow,and black） 4-ink color printer is presented.By reconstructing spectral reflectance,models with high accuracy of spectral and colorimetric predictions are built.A novel cell-searching algorithm is proposed and used together with the iteration method to invert the cellular Neugebauer model efficiently.Large numbers of high quality hardcopy samples are produced to evaluate model performance and prove the feasibility of the algorithm.The spectral-based model performs better compared with the usual model based on CIE1931 XYZ tristimulus values.     

Auto white balance method using a pigmentation separation technique for human skin color

Optical Review - The human visual system maintains the perception of colors of an object across various light sources. Similarly, current digital cameras feature an auto white balance function,...     

High-efficiency color separation method based on fractional Talbot effect for color liquid crystal display

Based on the fractional Talbot effect of Talbot grating, a new method with high light efficiency for color separation in color liquid crystal displays (LCDs) is proposed. The light efficiency of 85% and 89% are obtained by three- and four-step Talbot gratings, respectively, which are rather higher than that of using color filter, the traditional color separation method in color LCDs. This method has large tolerance to the position error of the color separation plane, the wavelength changes of red, green and blue colors, and the step height errors of the gratings.     

人工神经网络作为打印机色空间转换工具的问题

通过分析大量实测的打印机输入(R,G,B)与输出(L ,a ,b )数据之间的对应关系,发现在一些颜色区域存在着RGB与L a b 之间的二对一甚至多对一的关系。另一方面,一个已知的事实是,当一个神经网络已经建立后,任一个(或一组)输入只能产生一个(或一组)输出。结合以上两个事实得出的结论是,在要求打印机的输出颜色能准确地复现指定颜色的情况下,神经网络不适合作为由指定颜色的L a b 值来寻求打印机的相应输入RGB的工具。     

High-efficiency spatial color separation method based on fractional Talbot effect

Based on fractional Talbot effect, Talbot grating is adopted to realize spatial color separation with high light efficiency. For red and green colors, a two-step Talbot grating is optimized and the light efficiency reaches over 95%. The two-step Talbot grating is fabricated and tested. Experimental results show that the Talbot grating indeed has the good ability of spatial color separation.     

基于多波段光源的智能痕迹分色方法

针对常规分色摄影技术难以获得清晰可辨的图像信息和丰富的纹理特征,设计了一种基于多波段光源的痕迹分色摄影智能系统。通过STM32、LED、加色效应、互补色原理设计多波段光源模块,解决不同痕迹背景对应单色光的选择问题;通过混合式步进电机、DEV8825电机驱动模块和STM32,设计可上下、左右移动的光源模块,解决最佳配光位置的寻找问题;通过改进的FS-SIFT配准算法和引入二代Curvelet融合算法,设计两者相结合的图像处理系统,解决了常规摄影中痕迹提取与图像处理未同步的问题。实验结果表明,该系统摄影的痕迹图像,其背景与痕迹间的亮度反差更大,质量更好;经改进的FS-SIFT算法配准及二代Curvelet算法融合处理后,图像标准差平均提升1.25倍,信息熵平均提升1.70倍,平均梯度平均提升1.46倍,所得图像平均信息量和纹理特征更丰富。     

On a modified separation method for nuclear potentials

In order to obtain a regular but energy-dependent nuclear potential, the following modification of the separation method ofMoszkowski andScott is used: we replace the nuclear potentialv _c (r) by a long-range potentialv _l (r)=v _c (r) Θ(r? d ₀) together with a short-range energy dependent repulsionv _s =h(k) Θ(r _c ?r), whered ₀ is the separation distance for vanishing energy andr _c is the hard-core radius. The potentialv=v _s +v _l (r) is fitted to theS-wave scattering data and the binding energy of the deuteron.h(k) turns out to be almost proportional to the scattering energyE _rel for energiesE _rel<150 MeV.     

Fast color contrast enhancement method for color night vision

The increasing availability and deployment of imaging sensors operating in multiple spectral bands has led to a large research effort in color image fusion, resulting in a plethora of pixel-level image fusion algorithms. In this study a simple and fast fusion approach for color night vision is presented. The contrast of infrared and visible images is adjusted by local histogram equalization. Then the two enhanced images are fused into the three components of a Lab image in terms of a simple linear fusion strategy. To obtain false color images possessing a natural day-time color appearance, this paper adopts an approach which transfers color from the reference to the fused images in a simplified Lab space. To enhance the contrast between the target and the background, a stretch factor is introduced into the transferring equation in the b channel. Experimental results based on three different data sets show that the hot targets are popped out with intense colors while the background details present natural color appearance. Target detection experiments also show that the presented method has a better performance than the former methods, owing to the target recognition area, detection rate, color distance and running time.     

Spectral characterisation of colour printer based on a novel grey component replacement method

Conventional printer characterisation models are generally based on the assumption that the densities of primary colours are additive. However, additivity failure frequently occurs in practice. We propose a novel grey component replacement (GCR) method based on the spectral density sub-additivity equations in this letter for spectral characterisation of a 4-ink colour printer. The method effectively correct the error caused by additivity failure. Real high-quality hardcopy samples are produced as evidence of the feasibility of the proposed method and to evaluate the model performance. Finally, the GCR model for characterising colour printer with high spectral and colorimetric prediction accuracy is established.     

用于彩色液晶显示器的色分离光栅的优化设计

利用光栅实现液晶显示器中的色分离可以提高液晶显示器对光能的利用率。为了提高光能利用率,对光栅台阶数进行了优化设计,经矢量衍射理论计算,优化后的多台阶色分离光栅的能量利用率达到了65.3%,与采用滤色片的方法相比,光能利用率提高了近一倍;与三台阶相比,光能利用率提高了9.3%。     

CAD系统图像颜色分割的新方法

通过图像扫描仪获得的彩色图像常包含有一些样稿颜色以外的杂色或噪声颜色,当用基于一维直方图的传统的颜色统计法进行颜色分割时,会出现错分现象。对此,本文提出了基于二维直方图的颜色分割新方法,实现了一些ＣＡＤ系统图像颜色的准确分割和归并。实验结果和实际应用都证明了新方法的有效性,该方法也可应用于全真彩色图像的量化。     

色分离光栅对输入波前畸变宽容度的研究

 采用频域分段的方法，对强激光系统的波前畸变进行了理论分析；使用随机相位屏构建低频畸变波前模型，并提出采用迭代算法构建中高频畸变波前模型。使用构建的畸变波前模型作为输入，通过模拟计算，给出了色分离光栅对输入波前畸变宽容度的初步规律。     

色分离光栅对输入波前畸变宽容度的研究

采用频域分段的方法,对强激光系统的波前畸变进行了理论分析;使用随机相位屏构建低频畸变波前模型,并提出采用迭代算法构建中高频畸变波前模型。使用构建的畸变波前模型作为输入,通过模拟计算,给出了色分离光栅对输入波前畸变宽容度的初步规律。     

彩色图射中颜色不变性和耀斑的分离(Ⅱ)

光源的位置和色品影响景物在摄像机中的成像,耀斑和阴影的出现使一般的分割算法得不到理想的分割结果。本文根据双色反射模型将图像分解成两个本征图像——本色图像(matte image)和耀斑图像(highlighit image)。本色图像是去掉耀斑影响的图像,反映了景物本身的不变性,不受外部因素(光源的位置和色品)的影响。而耀斑图像是只含有耀斑的图像,恰反映了外部因素的影响。并提供景物形状的信息。     

彩色图像中颜色不变性和耀斑的分离（Ⅰ）

景物中物体表面的色品是与该物体形状无关的稳定特性,称为颜色不变性。但是,由于耀斑(highlight)和影绸(shading)的存在,图像中对应物体表面点的色品却是变化的,不具有颜色不变性。正确理解图像颜色的基础是建立颜色反射的物理模型。本文叙述了根据Klinker提出的双色反射模型(the dichromatic reflection model),在三维颜色直方图(3D color histogram)中利用K-L变换做平面拟合,分离面反射分量(interface reflection component)和体反射分量(body reflection component),从而计算光源和物体颜色色度坐标的方法,讨论了实际CCD摄像机的局限性,给出了实验结果。     

用于ICF驱动器的分频光栅两种工艺误差分析

 对用于ICF驱动器分频光栅的刻槽深度进行了优化，使其具有更优的分频效果。在此基础上，对制作工艺带来的占空比误差和塌边结构进行了分析，给出了分频光栅具有良好分频效果时工艺上所能允许的误差范围。