Summary
In this chapter, we learned about the concept of image inpainting and the restoration of damaged and degraded images. Then, we demonstrated many methods for the segmentation of images, including the mean shift algorithm and k-means clustering. Finally, we looked at how to estimate the depths of objects in images using disparity maps. All of these techniques are useful in many real-life applications. For example, whenever we want to send images over the network, we can use image quantization so that it consumes less bandwidth.
In the next chapter, we will learn about a few more advanced concepts such as histograms, the histograms of grayscale and color images, the detection of contours in images, and mathematical morphological operations.
