Image Processing with Python

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In this Guided Project, you will:

Read Images

Modify Images

Batch process images

55 minutes
Intermediate
No download needed
Split-screen video
English
Desktop only

Image processing has been used to create weird and beautiful modifications to pictures many of us have seen online. Older black and white photos can be brought to life using colorization techniques. On the other hand, color photos can be made to look like old black and white photos. In addition to distorting images for entertainment, image processing can be used for more serious applications, for example, to enhance medical imaging to screen patients for cancer or other diseases. In this tutorial, you will create a Python application that reads from a list of images, modifies their size and appearance, and saves the images in another directory. Note: This tutorial works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

  • Opencv

  • Software

  • Python Programming

  • Image Processing

  • Computer Programming

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Read Image

  2. Resize Image

  3. Blur Image

  4. Sharpen Image

  5. Batch Process Images

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.