Till now, we learned the basics of an image. From now onwards, we will learn what actually is known as image processing. In this blog, we will learn what is image enhancement, different methods to perform image enhancement and then we will learn how we can perform this on real images.

According to MathWorks, Image enhancement is the process of adjusting digital images so that the results are more suitable for display or further image analysis. It is basically a preprocessing step.

Image enhancement can be done either in the spatial domain or transform domain. Spatial domain means we perform all operations directly on pixels while in transform domain we first transform an image into another domain (like frequency) do processing there and convert it back to the spatial domain by some inverse operations. We will be discussing these in detail in the next blogs.

Both spatial and transform domain have their own importance which we will discuss later. Generally, operations in spatial domain are more computationally efficient.

Processing in spatial domain can be divided into two main categories – one that operates on single pixels known as Intensity transformation and other known as Spatial filtering that works on the neighborhood of every pixel

The following example will motivate you about what we are going to study in the next few blogs

In the next blog, we will discuss how basic arithmetic operations like addition, subtraction etc can be used for image enhancement. Hope you enjoy reading.

If you have any doubt/suggestion please feel free to ask and I will do my best to help or improve myself. Good-bye until next time.