TEK5030 - Maskinsyn

Week 3 - Image processing

How can we improve images, estimate image gradients and combine images with filtering at different scales?

Lecture 3: Image processing

This week introduces image filtering and how we can process images at different scales.

Topics

Image filtering (video |?pdf)
Image pyramids (video | pdf)
Laplace blending (video |?pdf)

Lab 3: Image blending with OpenCV

We are today going to play with image blending using Laplacian pyramids as explained in the lectures.

C++

Compared to the previous lab, this project is slightly more complex. The code is now distributed over a few more files to keep the logic parts of the program separated. If you are a beginner to programming and feel overwhelmed by this, take a look at section 1.2 in Introduction to C++ and OpenCV, which describes the concept of header files and source files. Section 2.2 covers the basics of loading images with OpenCV, which will also be useful in this lab.

You will find the lab at https://github.com/tek5030/lab-image-blending.

Follow the lab guide in README.md.

Python

You will find the lab at github.com/tek5030/lab-image-blending-py.