Chapter 9: Image Restoration, Segmentation, and Depth Maps
In the previous chapter, we demonstrated how to use high-pass filters and their applications in algorithms to detect edges.
In this chapter, we will learn about a few more advanced processing techniques regarding images. First, we will get started with the restoration of damaged or degraded images. Then, we will explore the fundamentals of various types of segmentation techniques. We have already seen that thresholding is a basic form of segmentation. We will explore this concept in more detail in this chapter. Finally, we will compute the disparity map and estimate the depths of objects in an image.
In this chapter, we will cover the following topics:
- Restoring damaged images using inpainting
- Segmenting images
- Disparity maps and depth estimation
By the end of this chapter, we will be able to restore damaged images, apply various segmentation algorithms to images, and estimate the depth of objects...
