September 2014
Intermediate to advanced
512 pages
12h 39m
English
Content preview from IPython Interactive Computing and Visualization CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Manipulating the exposure of an image
The exposure of an image tells us whether the image is too dark, too light, or balanced. It can be measured with a histogram of the intensity values of all pixels. Improving the exposure of an image is a basic image-editing operation. As we will see in this recipe, that can be done easily with scikit-image.
Getting ready
You need scikit-image for this recipe. You will find the installation instructions at http://scikit-image.org/download.html. With Anaconda, you can just type conda install scikit-image in a terminal.
You also need to download the Beach dataset from the book's GitHub repository at https://github.com/ipython-books/cookbook-data.
How to do it...
- Let's import the packages:
In [1]: import numpy as np ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.