Goal: Build OpenCV project and learn to access(read/write) image pixels.

• Practice some basic image processing functions: add noise, color reduction, image enhancement, image addition.
• Learn to access pixels by different ways: scanning an image with pointers, scanning an image with iterators.
• Learn to write efficient image scanning loops.

Readings and sample codes

• OpenCV 3 computer vision application programming cookbook. R. Laganière, Packt Publishing, 2017. [Book URL]
  • Chapter 1 Playing with images (PDF, code), Chapter 2 Manipulating the Pixels (PDF, code)
  • Test images
• You can use the provided sample codes in your homework, but you have to replace the images with yours.

Web Report

• Create a web page with description texts and a lot of pictures for the following programs
  • saltImage.cpp: Add salt-and-pepper noise into an image. (p.40 in Ch2 PDF)
  • colorReduce.cpp: Reduce the number of colors into 1/N. (p.44 in Ch2 PDF)
    • Compare speeds of different pixel access methods with the OpenCV function cv:getTickCount() to obtain the speed of pixel access. (p.55 in Ch2 PDF)
  • contrast.cpp: Enhance an image by sharpening methods. (p.60 in Ch2 PDF)
  • addImages.cpp: Add two images to get a blended image. (p.64 in Ch2 PDF)
  • remapping.cpp: Simulate a lens distortion to create a distorted images. (p.68 in Ch2 PDF)
• You have to give explanations of the codes. And you have to identify how did you modify the source code to get your results.
• Submit your web address by Google Classroom.