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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/image-processing
课程评论：没有评论
课程名称：图像与视频处理：从火星到好莱坞，途中止于医院 课程概述：本课程将带您了解数字图像和视频的生成、变更、存储和应用的科学。我们将探索数字成像的广阔世界，从计算机和数字相机如何形成图像，到好莱坞电影中的数字特效，再到火星探测器如何跨越数百万英里的太空发送照片。 课程的开端介绍人类视觉系统的工作原理，随即讲解使数字图像得以工作的工程、数学和计算机科学知识。您将学习调整图像的基本算法，深入探讨JPEG和MPEG标准在视频图像编码和压缩中的应用，并学习图像分割、噪声去除与滤波等技术。最后，课程将以医学中的图像处理技术作为结尾。 该课程包含7个基本模块和2个附加（非评分）模块，学习者将在课程期间获得MATLAB Online的访问权限，部分练习为可选内容。每个模块都是独立的，您可以根据兴趣进行学习。 课程大纲： 1. **图像与视频处理介绍**：学习图像和视频处理的基本概念以及理解所需的人类感知基础，掌握信号处理的简单工具。 2. **图像与视频压缩**：了解JPEG和MPEG的工作原理及其在火星探测中的应用。 3. **空间处理**：探讨中值滤波和直方图均衡等基本图像处理工具，并了解现代解读。 4. **图像恢复**：学习如何利用对降质过程的了解来提升图像恢复的效果。 5. **图像分割**：掌握从简单阈值到高级图切割和主动轮廓的图像分割技术。 6. **几何偏微分方程**：选修内容，帮助数学背景较强的学生深入理解后续内容。 7. **图像与视频修复**：了解图像和视频修复在电影行业中的应用及其多角度解决方案。 8. **稀疏建模与压缩感知**：学习现代图像与视频处理中的一种重要工具，并探讨线性代数与优化在该领域的应用。 9. **医学成像**（附加模块）：探讨图像处理在医学成像中的成功实例，如HIV与大脑研究等。 这个课程将从多个角度帮助您理解图像和视频的处理技术及其在不同行业中的应用。
Part: 1
Title:Introduction to image and video processing
Description:Learn what is image and video processing. Learn the very basic concepts of human perception needed for understanding image processing. Learn simple tools in signal processing needed to understand following units.
Part: 2
Title:Image and video compression
Description:JPEG and MPEG are the most successful algorithms in the area, widely used by everybody in a daily basis, and the goal of this unit is to understand how they work. Also to understand why these techniques are important and why they are enabling technologies. Also will describe what is done in the Mars expedition.
Part: 3
Title:Spatial processing
Description:Some of the most basic tools in image processing, like median filtering and histogram equalization, are still among the most powerful. We will describe these and provide a modern interpretation of these basic tools. Students will then become familiar with simple and still popular approaches. We will also include non-local means, a more modern technique that still uses classical tools.
Part: 4
Title:Image restoration
Description:The goal of this unit is to complement Unit 3 by adding prior information about the sources of degradation. Students will learn that if we know about the degradation process, we can do better. The objective of this unit is to complete the training with basic and powerful classical tools.
Part: 5
Title:Image segmentation
Description:Not all parts of the image are the same, and students will learn the basic techniques to partition an image, from simple threshold to more advanced graph cuts and active contours. This is the first unit where student will learn about image analysis and image interpretation, and will learn why this is important, e.g., in medical imaging and object recognition.
Part: 6
Title:Geometric PDEs
Description:This is all optional material. It will help the students that are more mathematically oriented and want to better understand the math behind next unit's lectures. But you will be able to handle without it.The quiz is therefore practice only.This is the first “advanced” unit and smoothly follows from the previous one. Students will learn very modern tools, widely used today, and will contrast with units 3,4 to illustrate how significantly more advanced mathematical tools are also very useful in image and video analysis. We will connect some of these advanced tools with classical ones, e.g., average with heat flow and median with anisotropic diffusion. This will help to provide unified views to the students.
Part: 7
Title:Image and video inpainting
Description:Students will get involved with a very exciting topic, since image and video inpainting is one of the most used tools in the movie industry. They will learn the problem, and also how they can approach it from multiple directions. This will also help to illustrate how the same problem can be approached from multiple mathematical angles. We will connect this with Shanon’s work providing yet another angle. If you watched the lectures on PDEs you will have more mathematical background, but you will enjoy this unit and learn without it as well.
Part: 8
Title:Sparse modeling and compressed sensing
Description:Here the goal is to present one of the most modern tools in image and video processing, and students will learn something that is today at the top of active research. This will also help to illustrate the use of linear algebra and optimization in image and video processing. This is the last formal unit of the course.
Part: 9
Title:Medical imaging
Description:This is a bonus unit. Enjoy it. Image processing has been very successful in medical imaging, and we will use examples from HIV and brain research to illustrate the importance of image processing in solving societal problems. We will describe the basic tools in these exciting applications, from the acquisition to the analysis.
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space. The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. You will learn the basic algorithms used for adjusting images, explore JPEG and MPEG standards for encoding and compressing video images, and go on to learn about image segmentation, noise removal and filtering. Finally, we will end with image processing techniques used in medicine. This course consists of 7 basic modules and 2 bonus (non-graded) modules. There are optional MATLAB exercises; learners will have access to MATLAB Online for the course duration. Each module is independent, so you can follow your interests.
