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Image Processing 课程

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在 Coursera 上探索 100% 在线学位和证书

HSE University
Master of Computer VisionHSE University
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
Arizona State University
AI and Machine Learning MasterTrack CertificateArizona State University
University of London
Bachelor of Science in Computer ScienceUniversity of London
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
IBM
IBM Applied AIIBM
HSE University
Master of Computer VisionHSE University
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
Arizona State University
AI and Machine Learning MasterTrack CertificateArizona State University
University of London
Bachelor of Science in Computer ScienceUniversity of London
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
IBM
IBM Applied AIIBM
HSE University
Master of Computer VisionHSE University
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
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AI and Machine Learning MasterTrack CertificateArizona State University

“image processing”共返回 201 条结果

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    Fundamentals of Digital Image and Video Processing
    Northwestern University
    课程
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    评分为 4.6(满分 5 星)。1435 条评论
    4.6(1,435)
    100k 名学生
    Mixed LevelMixed
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    Deep Learning
    DeepLearning.AI
    专项课程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    评分为 4.8(满分 5 星)。118803 条评论
    4.8(118,803)
    1 分钟 名学生
    Intermediate LevelIntermediate
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    Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
    Duke University
    课程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    评分为 4.7(满分 5 星)。969 条评论
    4.7(969)
    49k 名学生
    Mixed LevelMixed
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    Computer Vision Basics
    University at Buffalo
    课程
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    评分为 4.2(满分 5 星)。1640 条评论
    4.2(1,640)
    62k 名学生
    Intermediate LevelIntermediate
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    Introduction to Data, Signal, and Image Analysis with MATLAB
    Vanderbilt University
    课程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    评分为 4.8(满分 5 星)。57 条评论
    4.8(57)
    12k 名学生
    Intermediate LevelIntermediate
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    Convolutional Neural Networks
    DeepLearning.AI
    课程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    评分为 4.9(满分 5 星)。38168 条评论
    4.9(38,168)
    350k 名学生
    Intermediate LevelIntermediate
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    Image Processing with Python
    Coursera Project Network

    新

    指导项目
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    评分为 4.3(满分 5 星)。420 条评论
    4.3(420)
    11k 名学生
    Intermediate LevelIntermediate
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    Advanced Computer Vision with TensorFlow
    DeepLearning.AI
    课程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    评分为 4.8(满分 5 星)。78 条评论
    4.8(78)
    4.6k 名学生
    Intermediate LevelIntermediate
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    AI for Medical Diagnosis
    DeepLearning.AI
    课程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    评分为 4.7(满分 5 星)。1385 条评论
    4.7(1,385)
    39k 名学生
    Intermediate LevelIntermediate
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    AI in Healthcare
    Stanford University
    专项课程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    评分为 4.7(满分 5 星)。325 条评论
    4.7(325)
    14k 名学生
    Beginner LevelBeginner

Searches related to image processing

image processing with python

digital image processing

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image and video processing: from mars to hollywood with a stop at the hospital

fundamentals of digital image and video processing

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总之,这是我们最受欢迎的 image processing 门课程中的 10 门

  • Fundamentals of Digital Image and Video Processing: Northwestern University
  • Deep Learning: DeepLearning.AI
  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
  • Computer Vision Basics: University at Buffalo
  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Convolutional Neural Networks: DeepLearning.AI
  • Image Processing with Python: Coursera Project Network
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • AI for Medical Diagnosis: DeepLearning.AI
  • AI in Healthcare: Stanford University

您可以在 Algorithms 中学到的技能

图形 (22)
数学优化 (21)
计算机程序 (20)
数据数据结构 (19)
解决问题 (19)
代数 (12)
计算机视觉 (10)
离散数学 (10)
图论 (10)
线性代数 (10)
强化学习 (10)
算法设计 (9)

关于 Image Processing 的常见问题

  • Image Processing is the manipulation or modification of a digitized image, especially in order to enhance its quality. It involves techniques and algorithms designed to analyze, enhance, and optimize an image’s characteristics. This can include its sharpness, contrast, and other settings which are modifiable in image-processing software.

    As more and more organizations in all sectors require a solid online presence, the need for quality images grows more important. With tools such as Photoshop, Matlab, Lightroom, and more, learners can master Image Processing to excel in artistic and scientific fields.

  • According to ZipRecruiter, the average annual pay for an Image Processing Engineer in the United States is $148,350 per year as of May 1, 2020. Because digital images and videos are everywhere in modern times—from biomedical applications to those in consumer, industrial, and artistic sectors—learning about Image Processing can open doors to a myriad of opportunities.

    Learners interested in Image Processing can explore roles such as Software Developer, Research Scientist, Graphic Designer, Animator, Imaging Scientist, Machine Learning Researcher, Software Engineer, Algorithm Engineer, Research Engineer, and others that are related.

  • Through Coursera, Image Processing is covered in various courses. These courses focus on the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial scientific interests. Learners also discover the science behind how digital images and video are made, altered, stored, and used; how computers and digital cameras form images; how digital special effects are used in movies; and more.

    Lessons that include instruction on Image Processing are taught by professors from major universities such as Northwestern University, Duke University, and others. Learners can enjoy exploring Image Processing with professors specializing in Electrical Engineering, Computer Science, and related disciplines. Course content is delivered via video lectures, readings, quizzes, and other types of assignments.

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