Image filtering is always a powerful tool to use in your Computer Vision applications. It allows you to apply many exciting effects on your photos, such as image correction, noise reduction, embossing, and many more. Image filtering is actually a huge subpart of an image processing area. In this section, we will discuss the concepts of image filtering and talk about a basic operation—convolution, which is widely used in all Computer Vision applications. Furthermore, we will see how different effects, such as blurring, are achieved.
The core of most filtering operations is image convolution. With its understanding you will have the power to make your own image filters.
The image convolution idea is that you want to apply to each pixel of the original image a transformation which is based on neighboring pixels. For this, you have a kernel—a simple 2D matrix, this is our transformation matrix. For each pixel of the original image, we take...
