基于FPGA的LCoS显示驱动系统的设计与实现

研究了硅基液晶(LCoS)场序彩色显示驱动系统的设计与实现。该系统以FPGA作为主控芯片,用两片高速DDR2SDRAM作为帧图像存储器。通过对图像数据以帧为单位进行处理,系统将并行输入的红、绿、蓝数据转换成串行输出的红、绿、蓝单色子帧。将该驱动系统与投影光机配合,实现了分辨率为800×600的LCoS场序彩色显示。     

色彩刺激人类对显示领域的兴趣

随着以工作站发展为代表的计算机工业的迅速发展,可视显示CRT已变得多样化,大型化。在图象特征方面如分辨率、密度、色彩还原性和成本特性等,彩色显示CRT是最好的显示器件。在平面显示器迅速发展的同时,CRT制造商们每天都在进行技术革新以提高彩色显示CRT的分辨率和图象质量。在大型视频显示终端市场,彩色监视器将继续占有重要的位置。本文以东芝CRT为重点,概述彩色显示CRT的发展。     

一种提升时序彩色微显示屏显示分辨率的方法及MATLAB验证

随着视频源分辨率越来越高,对微显示屏制造工艺、像素物理尺寸、成本等提出了更高的要求。区别于以往提升空间彩色微显示屏显示分辨率的方法,提出了一种适用于提升时序彩色微显示屏显示分辨率的亚像素级数据重组融合算法,其可进一步提升显示分辨率倍数至12倍以上,优于传统空间彩色显示和时序彩色显示。首先,对原始数据帧进行降采样处理,按照配置,生成若干个子数据帧;其次,同时操作子数据帧,使得其中的每一物理像素点携带的像素信息与其周围算法范围内的物理像素点完成信息交互融合;最后,得到基于算法的全新数据帧并用于显示,显示效果逼近视频源,优于自身分辨率。这在一定程度上突破了微显示屏自身分辨率的限制,实现高分辨率显示,提高了微显示屏通用性。     

彩色显示管荫罩增强抗弯强度方法的研究

荫罩是目前广泛应用的彩色显示管中的选色装置,它直接影响显示管分辨率的高低。对于高分辨率彩色显示管用的荫罩,强度差、易变形是一个重要的问题。本文研究了解决荫罩腐蚀、成型后增加机械强度的方法,得到了良好的效果。这种方法还能够有效地防止彩色显示管工作期间荫罩局部隆起的现象,改善色纯,提高显示管的质量。     

动态聚焦技术及动态聚焦电子枪

截至目前，动态聚焦技术是改进大屏幕、大偏转角显像管边角分辨率和高清晰度彩色显示管分辨率均匀性的最有效方法。本文介绍与讨论了在荧光屏边缘处电子束点畸变原因以及几种典型动态聚焦电子枪的结构与性能。     

国外消息

车载用彩色显示管随着汽车现代化的发展,仪器盘上的显示也变得复杂多样了。在不久的将来,也将实现地图显示及导航。因此,使用彩色显象管进行多方式显示越来越重要。这次开发出的车载用6英寸彩色显示管具有以下特长:1)第一次实现了6英寸系列彩管90°偏转,并开发出了短型电子枪,显示管全长最大为194mm。2)为确保白天车内的目视性,获得数据显示(256×192点)及电视接收所必需的分辨率,采用了     

阴极射线管分辨率测量技术

随着数据和宇航系统中彩色显示的引入,以及现今的数据和图象显示系统中所显示的信息密度增加,引起了对显示分辨率和分辨率测量方面的强烈兴趣。由于受多种因素的影响,数据显示阴极     

真空荧光平板显示管彩色化探析

彩色显示是现代真空荧光平板显示的开发重点，本文对实现真空荧光彩色显示的三种方法进行探讨与分析，并述及未来的技术研究课题和展望。     

LCOS接口专用集成电路的设计

根据LCOS显示以及各种输入视频信号的特点,总结了LCOS接口电路的功能特点.以场序彩色显示LCOS接口控制电路的设计实现为例,详细介绍了接口专用集成电路的设计方法.     

插值技术提高激光旋转编码器分辨率的研究

光谱分析仪采用插值技术提高光栅系统激光旋转编码器的分辨率,从而实现了仪器较高波长准确度和读出分辨率的指标要求,本文详细介绍了该插值系统的工作原理及实现方法.     

利用自组织神经网络对彩色数字航空地图进行调色板压缩的技术

本文提出一种用自组织神经网络对彩色数字地图进行调色板压缩的技术，它能产生一个自适应调色板和彩采空间量化码书作为双重查找表，从而使图像的解压缩和显示转换成快速而简单的查表过程。本文研究了用调色板技术进行色彩量化和彩色空间量化的方法。     

彩色空间量化及调色板压缩技术

提出了一种基于Ｋｏｈｏｎｅｎ神经网络的色彩量化及彩色空间量化法，用这种方法可方便地获得调色板和彩色空间量化的码书；实现彩色数字地图的压缩，必须具备快速解码和显示的特点。     

BT458彩色D/A转换器在雷达显示系统中的应用

简单介绍了彩色D/A转换器BT458的功能和使用方法,并结合具体实例说明了雷达终端光栅扫描显示系统对D/A转换器的具体要求和该芯片在此系统中的巧妙应用及应用效果。     

基于SoPC的雷达多功能接口模块的设计与实现

为了满足高性能和小型化的要求,采用SoPC技术在一片FPGA上实现了多个嵌入式系统来完成1553B通信和显示处理等航电接口功能,特别是用VHDL语言实现了软件可配置的彩色调色板和分层叠加显示技术,使得系统具有集成度高、配置灵活、可靠性高等优点。详细介绍了各子模块的主要功能、工作原理和关键技术,该模块已经成功应用于实际系统中。     

YIQ vector quantization in a new color palette architecture

Many CRT displays use color palettes to save highspeed frame buffer memory and to support many interactive, real-time graphics and imaging operations. Existing quantization algorithms for color palettes cluster colors as 3-D vectors in a color space. Thus, they fail to remove the statistical redundancy in the image space. This weakness prevents a more efficient use of frame buffer capacity. We propose a simple product vector quantization (VQ) technique for frame buffers that exploits redundancies in both image and color spaces. The new VQ technique can reduce the frame buffer use of a color image by half from the current algorithms with comparable image quality. The NTSC YIQ rather than RGB color space is used in our product VQ scheme. Consequently, we propose to modify the current architecture of the color palette to suit the proposed product VQ algorithm in the YIQ mode. The modified color palette is nearly ten times smaller than the current RGB palette and is more flexible. The improved space efficiency in both frame buffer and color palette is achieved while neither complicating the control or logic of the frame buffer architecture nor increasing computational complexity of color quantization.     

Flexible,Large‐Area Covert Polarization Display Based on Ultrathin Lossy Nanocolumns on a Metal Film

Covert polarization displays provide a barrier to the inadvertent viewing of stored optical information. For security and anti‐counterfeiting purposes, access to concealed information without compromising packaging aesthetics is required in certain situations. However, optical conversion with polarized light typically requires sophisticated nanostructures only possible with limited materials, which are not appropriate for application to objects requiring flexibility or conformability, and color selectivity. A flexible, large‐area covert polarization display based on ultrathin lossy nanocolumns with wide color selectivity is presented. Self‐aligned porous nanocolumns (PNCs) fabricated by glancing angle deposition are a facile approach to polarization distinguishable structures. PNCs deposited on metal are designed to switch color in accordance with polarization by ultrathin resonance, which is modeled using the complex effective refractive index. Several combinations of material and thickness are presented to extend color selectivity with the standard red green blue gamut and color palette. As a demonstration, covert polarization display labels are attached to daily objects with curved and wrinkled surfaces, and hidden quick response codes are revealed by polarization adjustment in indoor and outdoor environments. Moreover, a multifunctional water contact detection covert polarization display is demonstrated based on the sensitivity of PNCs to the refractive index of the analyte.     

Color quantization of images

The authors develop algorithms for the design of hierarchical tree structured color palettes incorporating performance criteria which reflect subjective evaluations of image quality. Tree structured color palettes greatly reduce the computational requirements of the palette design and pixel mapping tasks, while allowing colors to be properly allocated to densely populated areas of the color space. The algorithms produce higher-quality displayed images and require fewer computations than previously proposed methods. Error diffusion techniques are commonly used for displaying images which have been quantized to very few levels. Problems related to the application of error diffusion techniques to the display of color images are discussed. A modified error diffusion technique is shown to be easily implemented using the tree structured color palettes developed earlier     

A novel approach for coding color quantized images

An approach to the lossy compression of color images with limited palette that does not require color quantization of the decoded image is presented. The algorithm is particularly suited for coding images using an image-dependent palette. The technique restricts the pixels of the decoded image to take values only in the original palette. Thus, the decoded image can be readily displayed without having to be quantized. For comparable quality and bit rates, the technique significantly reduces the decoder computational complexity.     

Color quantization and processing by Fibonacci lattices

Color quantization is sampling of three-dimensional (3-D) color spaces (such as RGB or Lab) which results in a discrete subset of colors known as a color codebook or palette. It is extensively used for display, transfer, and storage of natural images in Internet-based applications, computer graphics, and animation. We propose a sampling scheme which provides a uniform quantization of the Lab space. The idea is based on several results from number theory and phyllotaxy. The sampling algorithm is very much systematic and allows easy design of universal (image-independent) color codebooks for a given set of parameters. The codebook structure allows fast quantization and ordered dither of color images. The display quality of images quantized by the proposed color codebooks is comparable with that of image-dependent quantizers. Most importantly, the quantized images are more amenable to the type of processing used for grayscale ones. Methods for processing grayscale images cannot be simply extended to color images because they rely on the fact that each gray-level is described by a single number and the fact that a relation of full order can be easily established on the set of those numbers. Color spaces (such as RGB or Lab) are, on the other hand, 3-D. The proposed color quantization, i.e., color space sampling and numbering of sampled points, makes methods for processing grayscale images extendible to color images. We illustrate possible processing of color images by first introducing the basic average and difference operations and then implementing edge detection and compression of color quantized images.     

Fuzzy algorithms for combined quantization and dithering

Color quantization reduces the number of the colors in a color image, while the subsequent dithering operation attempts to create the illusion of more colors with this reduced palette. In quantization, the palette is designed to minimize the mean squared error (MSE). However, the dithering that follows enhances the color appearance at the expense of increasing the MSE. We introduce three joint quantization and dithering algorithms to overcome this contradiction. The basic idea is the same in two of the approaches: introducing the dithering error to the quantizer in the training phase. The fuzzy C-means (FCM) and the fuzzy learning vector quantization (FLVQ) algorithms are used to develop two combined mechanisms. In the third algorithm, we minimize an objective function including an inter-cluster separation (ICS) term to obtain a color palette which is more suitable for dithering. The goal is to enlarge the convex hull of the quantization colors to obtain the illusion of more colors after error diffusion. The color contrasts of images are also enhanced with the proposed algorithm. We test the results of these three new algorithms using quality metrics which model the perception of the human visual system and illustrate that substantial improvements are achieved after dithering