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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Compressing an image using wavelets

In this recipe, you will learn how to use wavelets to transform an image and discard the lower-order bits from the output of the transform, so that most of its values are zero (or very small), but most of the signal (pixels) is preserved. We shall use the mahotas library functions for the demonstration.

Getting ready

In this recipe, we will use the cameraman grayscale image as input. Let's get started by importing the required libraries and modules:

import numpy as np
import mahotas
from mahotas.thresholding import soft_threshold
from matplotlib import pyplot as plt
import os

How to do it.....

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