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Python Image Processing Cookbook

You're reading from  Python Image Processing Cookbook

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

Table of Contents (11) Chapters close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement 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

Improving image contrast with histogram equalization

In Chapter 1, Image Manipulation and Transformation, we saw how the contrast stretching operation can be used to increase the contrast of an image. However, it is just a linear scaling function that is applied to image pixel values, and hence the image enhancement is less drastic than its more sophisticated counterpart, histogram equalization. This recipe will show how to implement contrast stretching using the histogram equalization. It is also a point transform that uses a non-linear mapping that reassigns the pixel intensity values in the input image in such a way that the output image has a uniform distribution of intensities (a flat histogram), and thereby enhances the contrast of the image.

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Python Image Processing Cookbook
Published in: Apr 2020 Publisher: Packt ISBN-13: 9781789537147
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