my-assignmentexpert™计算机视觉Computer Vision代写，免费提交作业要求， 满意后付款，成绩80\%以下全额退款，安全省心无顾虑。专业硕 博写手团队，所有订单可靠准时，保证 100% 原创。my-assignmentexpert™， 最高质量的计算机视觉Computer Vision作业代写，服务覆盖北美、欧洲、澳洲等 国家。 在代写价格方面，考虑到同学们的经济条件，在保障代写质量的前提下，我们为客户提供最合理的价格。 由于统计Statistics作业种类很多，同时其中的大部分作业在字数上都没有具体要求，因此计算机视觉Computer Vision作业代写的价格不固定。通常在经济学专家查看完作业要求之后会给出报价。作业难度和截止日期对价格也有很大的影响。

my-assignmentexpert™ 为您的留学生涯保驾护航 在网课代修方面已经树立了自己的口碑, 保证靠谱, 高质且原创的网课代写服务。我们的专家在计算机视觉Computer Vision代写方面经验极为丰富，各种计算机视觉Computer Vision相关的作业也就用不着 说。

## 网课代修|计算机视觉代写Computer Vision代写|DARK CHANNEL PRIOR

According to the DCP, an RGB image has at least one color channel that have some pixels of lowest intensities that tends to zero. For examples,an image of mountains, stones, tree, some brighter objects, etc. In case of some images of mountains, stones will have lowest intensities as compared to brighter objects and sky region of the sky. The dark channel suggests that an RGB image have at least one color channel which has lowest intensities that are almost tends to zero. Dark Channel mathematically represented as $^{16}$ :
$$h f \mathrm{I}^{\text {dart }}(x)=\min {\operatorname{m,n},(\min , n)} \min {c \in(R, G, B)} h \mathrm{I}^{c}(y)$$
where $h f \mathbb{I}^{\mathrm{c}}$ denotes the intensity of the color channel $\mathrm{c} \in(\mathrm{R}, \mathrm{G}, \mathrm{B})$ of the RGB image and and $\lambda(x)$ is a local patch centered at pixel. The minimum value among the three-color channels and all pixels are considered as the dark channel $h f \mathrm{I}^{\text {dark }}$. The dark channel pixel value can be approximated as follow $^{16}$ :
$$h f^{d a r k} \approx 0$$
The dark channel is known as DCP when the approximation is zero for the pixel values. Another part of this, the dark channel for the foggy images produces the pixels that have values greater than zero. Global atmosphere light heads to be achromatic and bright. A combination of air light and direct depletion significant increases the minimum value of the three colors in the local patch. This signifies that the pixel values of the dark channel can play a particular rule to estimate the fog density.

## 网课代修|计算机视觉代写Computer Vision代写|DCP-BASED IMAGE DEFOGGING

In DCP-based Image Defogging algorithm, the dark channel formulated from the input image (see eq 1.4). The atmosphere and transmission map is achieved from the dark channel. The transmission map is further refined and fog free image is reformulated using eq $1.3$. The degradation mathematically represented as ${ }^{6}$ :
$$o b I(x)=h f I(x) e^{(-\partial d(x))}+\operatorname{Air}\left(1-e^{-\partial d(x)}\right)$$
To get minimum intensity in the local patch of each color is done by dividing both side of eq. $1.6$ by Airc as follow:
$$\min \left(\frac{o b I^{c}(x)}{A i r^{c}}\right)=\overline{\operatorname{tra}(x)} \min \overline{\operatorname{Air}^{c}}+(1-\overline{\operatorname{tr} a(x)})$$

## 网课代修|计算机视觉代写COMPUTER VISION代写|BRIGHT CHANNEL PRIOR

In case of stumpy illumination color images, image enrichment technology is frequently used. A large amount of the brightness augmentation algorithm depended on the BCP that center of attention is the gray removal. The local patches in elucidation images are full of some pixels that have very high intensities in at least one color channel. The construction of a fog picture is definite as:
$$o b I(x)=h f I(x) e^{(-\partial d(x))}+\operatorname{Air}\left(1-e^{-\partial d(x)}\right)$$
where $x$ represents the image coordinates, $o b I$ is the observed hazy image, $h f I$ is the haze-free image, Air is the global atmospheric light, $\partial$ is the scattering coefficient of the atmosphere, and $d$ is the scene depth. The transmission map is defined as:
$$\operatorname{tra}(x)=e^{-\hat{d} d(x)}$$

## 网课代修|计算机视觉代写COMPUTER VISION代写|DARK CHANNEL PRIOR

$$h f \mathrm{I}^{\text {dart }}(x)=\min {\operatorname{m,n},(\min , n)} \min {c \in(R, G, B)} h \mathrm{I}^{c}(y)$$
where $h f \mathbb{I}^{\mathrm{c}}$ denotes the intensity of the color channel $\mathrm{c} \in(\mathrm{R}, \mathrm{G}, \mathrm{B})$ of the RGB image and and $\lambda(x)$ is a local patch centered at pixel. The minimum value among the three-color channels and all pixels are considered as the dark channel $h f \mathrm{I}^{\text {dark }}$. The dark channel pixel value can be approximated as follow $^{16}$ :
$$h f^{d a r k} \approx 0$$

## 网课代修|计算机视觉代写COMPUTER VISION代写|DCP-BASED IMAGE DEFOGGING

○b我(X)=HF我(X)和(−∂d(X))+空气⁡(1−和−∂d(X))

## 网课代修|计算机视觉代写COMPUTER VISION代写|BRIGHT CHANNEL PRIOR

○b我(X)=HF我(X)和(−∂d(X))+空气⁡(1−和−∂d(X))

## 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。