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Mastering SciPy

You're reading from   Mastering SciPy Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783984749
Length 404 pages
Edition 1st Edition
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Authors (2):
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Francisco Javier Blanco-Silva Francisco Javier Blanco-Silva
Author Profile Icon Francisco Javier Blanco-Silva
Francisco Javier Blanco-Silva
Francisco Javier B Silva Francisco Javier B Silva
Author Profile Icon Francisco Javier B Silva
Francisco Javier B Silva
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Toc

Image editing


The purpose of editing is the alteration of digital images, usually to improve its properties or to turn them into an intermediate step for further processing.

Let's examine different methods of editing:

  • Transformations of the domain

  • Intensity adjustment

  • Image restoration

  • Image inpainting

Transformations of the domain

In this setting, we address transformations to images by first changing the location of pixels: rotations, compressions, stretching, swirls, cropping, perspective control, and so on. Once the transformation to the pixels in the domain of the original is performed, we observe the size of the output. If there are more pixels in this image than in the original, the extra locations are filled with numerical values obtained by interpolating the given data. We do have some control over the kind of interpolation performed, of course. To better illustrate these techniques, we will pair an actual image (say, Lena) with a representation of its domain as a checkerboard:

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