Introduction

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Получаемые навыки

Image Processing, Data Compression, Matlab

Рецензии

4.6 (оценок: 1,537)

  • 5 stars
    70,78 %
  • 4 stars
    22,38 %
  • 3 stars
    5,07 %
  • 2 stars
    1,04 %
  • 1 star
    0,71 %

NN

17 июля 2018 г.

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Very informative and comprehensive course in image processing. Many examples are presented throughout the course, which make the content tangible and help to better sink-in the material.

DK

3 нояб. 2017 г.

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This course is very beautifully designed to instill in your mind the concepts of Image and Video processing along with the graded quizzes to check how much actually you learned.

Из урока

Sparsity

In this module we introduce the notion of sparsity and discuss how this concept is being applied in image and video processing. Topics include: sparsity-promoting norms, matching pursuit algorithm, smooth reformulations, and an overview of the applications.

Преподаватели

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    Aggelos K. Katsaggelos

    Joseph Cummings Professor

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