LCOS激光投影显示技术及产业化关键技术研究
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摘要
随着投影技术的发展,激光投影显示技术因其激光光源具有较好的单色性,更宽广的显示色域范围,更饱和艳丽的色彩,节能环保等优点,成为显示技术的重要发展方向。本文对影响投影显示效果的关键因素进行分析研究,并通过重新设计视觉心理物理学实验来评价本文研究内容的有效性和准确性.。
影响激光投影显示效果的诸多因素主要包括图像的白平衡、图像的对比度、图像的色彩、图像的亮度色度均匀度等。本文分别对以上影响显示效果的关键因素进行分析研究,并对比总结出部分现有方案的不足,提出改进方案或开拓性地提出解决方法。
图像白平衡直接影响图像的白色显示效果,本文对颜色属性进行研究,并重新设计视觉心理物理学实验,分析在不同环境下颜色的视觉差异性,通过实验结论和公式提出新的校正方案。本文以白平衡校正为范例,系统地介绍了本文的研究方法和研究流程。
根据动态光源控制的原理,本文提出基于图像处理的新系统,对图像区域进行分割处理,再整体提升对比度。实验证明新系统有效地提高了图像对比度。
由于传统的色彩管理系统并不适用于激光显示的大色域,故本文开拓性地提出基于图像内容的适用于激光大色域的色彩管理系统,该系统结合分析颜色亮度、饱和度、色调之间的联系,对不同图像使用不同的映射公式。并通过建立激光显示主、客观评价标准,从多角度判断新系统的有效性。
本文从软硬件两个方面提出校正方案,对显示图像亮度均匀度和色度均匀度进行检测和校正,实验结果证明两个方案对显示均匀度都有了明显的提升,有效地提升了图像显示综合效果。
本文提出了基于小波分析的二维图像转三维图像系统,该系统通过对二维图像进行离散小波分析估算图像的深度信息,并通过DIBR算法虚拟出其他视点图像,再形成三维图像,达到三维显示的目的。
Because that the laser have the advantages monochromaticity, wider display color gamut, more saturated and bright colors, energy conservation and environment protection as the light source, the laser display have become an important evelopment direction of the projection display technology. This paper analysis and study the main factors influencing the display effect, and re-design the visual psychophysics experiments to evaluating the effectiveness.
The main factors influencing laser projection display include image white balance, image contrast, image color, image brightness uniformity and image color uniformity. This paper compares the existing programs, points out its shortcomings; put forward the improvements or pioneering solutions.
White balance affect the display directly, this paper study the color attributes and redesign the visual psychophysics experiments, analysis the color visual differences in different environments, put forward a new correction scheme through the experimental results. In this paper, we introduce the research methods and research process taking the white balance correction as an example.
Based on the principle of dynamic lighting control, this paper proposed a new system based on image processing, the system segment the areas and process them, and improve the overall contrast. Experiments show the effectively.
As that the traditional color management system are not suitable to use in the large color gamut of laser display, so this paper pioneering proposed a color management system based on the image contents, the system analysis the links among the color brightness, saturations, and hues. According to different images, the different algorithms formulas are applied. Subjective and objective evaluation criteria are established for laser display to verify the validity of the algorithms.
This paper proposes two alternatives for detection and correction of the display image uniformity. One is using computer to processing the pictures taken by cameras, the other is designing the specialized detection equipments. And the algorithms are proposed to increase the luminance uniformity and color uniformity algorithm.
This paper proposes2D to3D image system based on wavelet analysis, the system use the two-dimensional discrete wavelet transform to estimate the depth image information, and generate the virtual view images through DIBR algorithms, then form the3D images.
影响激光投影显示效果的诸多因素主要包括图像的白平衡、图像的对比度、图像的色彩、图像的亮度色度均匀度等。本文分别对以上影响显示效果的关键因素进行分析研究,并对比总结出部分现有方案的不足,提出改进方案或开拓性地提出解决方法。
图像白平衡直接影响图像的白色显示效果,本文对颜色属性进行研究,并重新设计视觉心理物理学实验,分析在不同环境下颜色的视觉差异性,通过实验结论和公式提出新的校正方案。本文以白平衡校正为范例,系统地介绍了本文的研究方法和研究流程。
根据动态光源控制的原理,本文提出基于图像处理的新系统,对图像区域进行分割处理,再整体提升对比度。实验证明新系统有效地提高了图像对比度。
由于传统的色彩管理系统并不适用于激光显示的大色域,故本文开拓性地提出基于图像内容的适用于激光大色域的色彩管理系统,该系统结合分析颜色亮度、饱和度、色调之间的联系,对不同图像使用不同的映射公式。并通过建立激光显示主、客观评价标准,从多角度判断新系统的有效性。
本文从软硬件两个方面提出校正方案,对显示图像亮度均匀度和色度均匀度进行检测和校正,实验结果证明两个方案对显示均匀度都有了明显的提升,有效地提升了图像显示综合效果。
本文提出了基于小波分析的二维图像转三维图像系统,该系统通过对二维图像进行离散小波分析估算图像的深度信息,并通过DIBR算法虚拟出其他视点图像,再形成三维图像,达到三维显示的目的。
Because that the laser have the advantages monochromaticity, wider display color gamut, more saturated and bright colors, energy conservation and environment protection as the light source, the laser display have become an important evelopment direction of the projection display technology. This paper analysis and study the main factors influencing the display effect, and re-design the visual psychophysics experiments to evaluating the effectiveness.
The main factors influencing laser projection display include image white balance, image contrast, image color, image brightness uniformity and image color uniformity. This paper compares the existing programs, points out its shortcomings; put forward the improvements or pioneering solutions.
White balance affect the display directly, this paper study the color attributes and redesign the visual psychophysics experiments, analysis the color visual differences in different environments, put forward a new correction scheme through the experimental results. In this paper, we introduce the research methods and research process taking the white balance correction as an example.
Based on the principle of dynamic lighting control, this paper proposed a new system based on image processing, the system segment the areas and process them, and improve the overall contrast. Experiments show the effectively.
As that the traditional color management system are not suitable to use in the large color gamut of laser display, so this paper pioneering proposed a color management system based on the image contents, the system analysis the links among the color brightness, saturations, and hues. According to different images, the different algorithms formulas are applied. Subjective and objective evaluation criteria are established for laser display to verify the validity of the algorithms.
This paper proposes two alternatives for detection and correction of the display image uniformity. One is using computer to processing the pictures taken by cameras, the other is designing the specialized detection equipments. And the algorithms are proposed to increase the luminance uniformity and color uniformity algorithm.
This paper proposes2D to3D image system based on wavelet analysis, the system use the two-dimensional discrete wavelet transform to estimate the depth image information, and generate the virtual view images through DIBR algorithms, then form the3D images.
引文
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