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Image Processing with Python

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.
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Length 3 weeks
Effort 55 minutes
Starts Jun 23 (44 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor David Dalsveen
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Art & Design
Tags Computer Science Design And Product Software Development

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An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Image Specialist 1 $43k

Image Clerk $43k

Image Contributor $53k

Advanced Image Processing Spec $57k

Image Specialist 3 $57k

Image Processing Software Engineer $59k

Image Processing Algorithm Engineer $66k

Image Processing/Computer Vision Specialist TS/SCI $69k

Image Management $71k

SME - Image Signal Processing Pipeline $71k

Advanced Image Processing Specialist $77k

Image-Signal Processing Engineer $80k

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Rating Not enough ratings
Length 3 weeks
Effort 55 minutes
Starts Jun 23 (44 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor David Dalsveen
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Art & Design
Tags Computer Science Design And Product Software Development

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