Image Processing with Python
441 ratings
Offered By
12,009 already enrolled
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:
Read Image
Resize Image
Blur Image
Sharpen Image
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
Instructor
Reviews
4.3
- 5 stars51.92%
- 4 stars29.93%
- 3 stars12.69%
- 2 stars2.49%
- 1 star2.94%
TOP REVIEWS FROM IMAGE PROCESSING WITH PYTHON
by SS
Oct 10, 2020Recommended for those with a minimum understanding of image processing
by KG
Sep 22, 2020It was very useful to me and I have learnt openCV software, Python programming, Image processing and Computer programming
by PK
Sep 24, 2020Guiding Project is simply awesome thank you Coursera for offering such type of wonderful courses
by KH
Jul 14, 2020A good course. My cloud desktop didn't open by the way. Need to tell more about theory and built-in functions. But it's easy to understand them in this course.
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