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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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Author (1)
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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Questions

  1. Use the skimage.filters module's unsharp_mask() function with different values of the radius and amount parameters to sharpen an image.
  2. Use the PIL ImageFilter module's UnsharpMask() function with different values of the radius and percentparameters to sharpen an image.
  3. Sharpen a color (RGB) image using the sharpen kernel [[0,-1,0],[-1,5,-1],[0,-1,0]]. (Hint: use SciPy signal module's convolve2d() function for each of the color channels one by one.)
  4. With the SciPy ndimage module, sharpen a color image directly (without sharpening individual color channels one by one).
  5. Compute and display a Gaussian pyramid with the lena gray-scale input image using theskimage.transformmodule'spyramid_laplacian()function.
  1. Construct the Gaussian pyramid with the reduce() function of the transform module of scikit-image and Laplacian pyramid from the Gaussian pyramid and expand() function, with the algorithm discussed.
  2. Compute the Laplacian pyramid for an image and construct the original image from it.
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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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