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You're reading from  Hands-On Image Processing with Python

Product typeBook
Published inNov 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789343731
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Computer Vision
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Sandipan Dey
Sandipan Dey
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Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.
Read more about Sandipan Dey

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Filtering in the frequency domain (HPF, LPF, BPF, and notch filters)

If we remember from the image processing pipeline described in Chapter 1, Getting Started with Image Processing, the immediate next step after image acquisition is image pre-processing. Images are often corrupted by random variations in intensity and illumination or have poor contrast, and therefore can't be used directly and need to be enhanced. This is where the filters are used.

What is a filter?

Filtering refers to transforming pixel intensity values toreveal certain image characteristics such as:

  • Enhancement: This image characteristic improves contrast
  • Smoothing: This image characteristic removes noise
  • Template matching: This image characteristic detects known patterns

The filtered image is described by a discreteconvolution and the filter is described by an x ndiscreteconvolution mask.

High-Pass Filter (HPF)

This filter allows only high frequencies from the frequency domain representation of the image (obtained with DFT)...

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Hands-On Image Processing with Python
Published in: Nov 2018Publisher: PacktISBN-13: 9781789343731
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.
Read more about Sandipan Dey

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