### 计算机代写|计算机视觉代写Computer Vision代考|CPS843

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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 计算机代写|计算机视觉代写Computer Vision代考|Video Color Model

A commonly used color model in video is the $\mathbf{Y C}{\mathrm{B}} \mathrm{C}{\mathrm{R}}$ color model, where $Y$ represents the luminance component and $C_B$ and $C_R$ represent chrominance components. The brightness component can be obtained by using the RGB component of the color:
$$Y=r R+g G+b B$$
where $r, g, b$ are proportional coefficients. The chrominance component $C_B$ represents the difference between the blue part and the luminance value, and the chrominance component $C_R$ represents the difference between the red part and the luminance value (so $C_B$ and $C_R$ are also called color difference components):
\begin{aligned} & C_B=B-Y \ & C_R=R-Y \end{aligned}
In addition, one can define the chrominance component $C_G=G-Y$, but $C_G$ can be obtained by $C_B$ and $C_R$, so it is not used alone. The inverse transformation from $Y, C_B, C_R$ to $R, G, B$ can be represented as
$$\left[\begin{array}{l} R \ G \ B \end{array}\right]=\left[\begin{array}{ccc} 1.0 & -0.00001 & 1.40200 \ 1.0 & -0.34413 & -0.71414 \ 1.0 & 1.77200 & 0.00004 \end{array}\right]\left[\begin{array}{c} Y \ C_B \ C_R \end{array}\right]$$
In the practical $\mathbf{Y C}{\mathbf{B}} \mathbf{C}{\mathbf{R}}$ color coordinate system, the value range of $Y$ is $[16,235]$; the value ranges of $C_B$ and $C_R$ are both $[16,240]$. The maximum value of $C_B$ corresponds to blue ( $C_B=240$ or $R=G=0, B=255$ ), and the minimum value of $C_B$ corresponds to yellow $\left(C_B=16\right.$ or $R=G=255, B=0$ ). The maximum value of $C_R$ corresponds to red ( $C_R=240$ or $R=255, G=B=0$ ), and the minimum value of $C_R$ corresponds to blue-green $\left(C_B=16\right.$ or $\left.R=0, G=B=255\right)$.

## 计算机代写|计算机视觉代写Computer Vision代考|Color TV System

Color TV is a special kind of video. Commonly used color TV formats include NTSC (developed by the United States and used in countries such as the United States and Japan), PAL (developed by Germany and used in countries such as Germany and China), and SECAM (developed by France and used in countries such as France and Russia).

The color models used in color television systems are also based on different combinations of RGB, although some concepts of color models for visual perception are used, too.

The YUV model is used in the PAL and SECAM systems, where $Y$ represents the brightness component and $U$ and $V$ are, respectively, proportional to the color difference $B-Y$ and $R-Y$, which are called chrominance components (or color difference components). $Y, U$, and $V$ can be obtained from the normalized $R^{\prime}, G^{\prime}$, and $B^{\prime}$ in the PAL system (after gamma correction) through the following calculations $\left(R^{\prime}=G^{\prime}=B^{\prime}=1\right.$ corresponds to the reference white):
$$\left[\begin{array}{l} Y \ U \ V \end{array}\right]=\left[\begin{array}{ccc} 0.299 & 0.587 & 0.114 \ -0.147 & -0.289 & 0.436 \ 0.615 & -0.515 & -0.100 \end{array}\right]\left[\begin{array}{l} R^{\prime} \ G^{\prime} \ B^{\prime} \end{array}\right]$$
The inverse transformation of $R^{\prime}, G^{\prime}$, and $B^{\prime}$ from $Y, U$, and $V$ is
$$\left[\begin{array}{l} R^{\prime} \ G^{\prime} \ B^{\prime} \end{array}\right]=\left[\begin{array}{ccc} 1.000 & 0.000 & 1.140 \ 1.000 & -0.395 & -0.581 \ 1.000 & 2.032 & 0.001 \end{array}\right]\left[\begin{array}{l} Y \ U \ V \end{array}\right]$$
The YIQ model is used in the NTSC system, where $Y$ still represents the brightness component, and $I$ and $Q$ are the results of the $U$ and $V$ components rotated by $33^{\circ}$, respectively. After being rotated, $I$ corresponds to the color between orange and cyan, and $Q$ corresponds to the color between green and purple. Because the human eye is not as sensitive to the color change between green and purple as the color change between orange and cyan, the number of bits required for the $Q$ component during quantization can be less than that for the $I$ component, and the bandwidth required for the $Q$ component during transmission can be narrower than the I component.

# 计算机视觉代考

## 计算机代写|计算机视觉代写Computer Vision代考|Video Color Model

$$Y=r R+g G+b B$$

$$C_B=B-Y \quad C_R=R-Y$$

$$[R G B]=\left[\begin{array}{lllllll} 1.0 & -0.00001 & 1.402001 .0 & -0.34413 & -0.714141 .0 & 1.77200 & 0.00004 \end{array}\right]$$

## 计算机代写|计算机视觉代写Computer Vision代考|Color TV System

YUV 模型用于 PAL 和 SECAM 系统，其中 $Y$ 表示亮度分量和 $U$ 和 $V$ 分别与色差成正比 $B-Y$ 和 $R-Y$ ， 称为色度分量 (或色差分量)。 $Y, U$ ，和 $V$ 可以从规范化获得 $R^{\prime}, G^{\prime}$ ，和 $B^{\prime}$ 在 PAL 系统中（经过伽玛 校正后）通过以下计算 $\left(R^{\prime}=G^{\prime}=B^{\prime}=1\right.$ 对应于参考白色 $)$ ：

YIQ模型用于NTSC系统，其中 $Y$ 仍然代表亮度分量，并且 $I$ 和 $Q$ 是的结果 $U$ 和 $V$ 旋转的组件 $33^{\circ}$ ，分别。 旋转后， $I$ 对应于橙色和青色之间的颜色，并且 $Q$ 对应于绿色和紫色之间的颜色。由于人眼对绿色和紫色 之间的颜色变化不如橙色和青色之间的颜色变化那么敏感，因此所需的位数 $Q$ 量化期间的分量可以小于 $I$ 组件，以及所需的带宽 $Q$ 传输期间的分量可以比 $\mathrm{I}$ 分量窄。

## 广义线性模型代考

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。