Image Processing Masterclass with Python

Preface

Basic Image and Video Processing

• Display RGB image color channels in 3D
• Video I/O
• Implement Instagram-like Gotham filter
• Explore Image Manipulations With Different Python Libraries
• Object removal with seam carving
• Summary
• Questions
• References

More Image Transformation and Manipulation

• Introduction
• Applying Euclidean and Affine transformation on an image
• Implement image transformation with warping/inverse warping using scikit-image and scipy.ndimage
• Image projection with homography using scikit-image
• Detecting Colors and Changing Colors of Objects with OpenCV-Python
• Detecting Covid-19 Virus Objects with Colors in the HSV Colorspace
• Finding duplicate and similar images with hashing
• Summary
• Questions
• References

Sampling, Convolution, Discrete Fourier, Cosine and Wavelet Transform

• Introduction
• Fourier Transform Basics
• Sampling to increase/decrease the resolution of an image
• Denoising an image with LPF/Notch filter in the Frequency domain
• Blurring an Image with an LPF in the Frequency Domain
• Edge detection with high pass filters (HPF) in the frequency domain
• Implementation of homomorphic filters
• Summary
• Questions
• References

Discrete Cosine/Wavelet Transform and Deconvolution

• Introduction
• Template matching with phase-correlation in the frequency domain
• Image compression with the Discrete Cosine Transform (DCT)
• Image denoising with Discrete Cosine Transform (DCT)
• Deconvolution for image deblurring
• Image Denoising With Wavelets
• Image fusion with wavelets
• Secure spread spectrum digital watermarking with the DCT
• Questions
• References

Image Enhancement

• Introduction
• Image Enhancement Filters with PIL for noise removal and smoothing
• Unsharp masking to sharpen an image
• Averaging of images to remove random noise
• Image denoising with curvature-driven algorithms
• Contrast stretching/histogram equalization with opencv-python
• Fingerprint cleaning and minutiaes extraction
• Edge detection with LOG/zero-crossing, canny versus holistically-nested
• Summary
• Questions
• References

More Image Enhancement

• Object detection with Hough transform and colors
• Object Saliency Map, Depth Map, And Tone Map (HDR) With OpenCV-python
• Pyramid blending
• Image Super Resolution with Deep Learning Model (SRGAN)
• Low-Light Image Enhancement Using CNNs
• Realistic Image Dehazing Using Deep Neural Net
• Distributed image processing with Dask
• Summary
• Questions
• References

Face Image Processing

• Introduction
• Face morphing with dlib, scipy.spatial, and opencv-python
• Facial Landmark Detection with Deep Learning Models
• Implementation of face swapping
• Implementation of face parsing
• Face recognition with FisherFaces
• Face detection and recognition with Microsoft Cognitive Vision APIs
• Summary
• Questions
• References