Image processing is a hot trend in the computer science industry. With increasing use in a large number of applications, the technology is here to stay. It has significant importance within the computer science and engineering discipline and is used in almost every industry today. This blog will take you through the basics of image processing. We will also share the link to the image processing eBook that will acquaint you with what images are, how they are stored, image processing techniques, and how image processing can help you in multiple ways.

## What is Image Processing?

Image processing is a method or technology to perform multiple operations on an image to enhance or extract useful information. Image processing is a type of signal processing that takes an image as an input and gives an image or features associated with it as an output. There are two types of techniques used for image processing: analog and the other is digital processing. Analog image processing is used for hard copies such as photographs and printouts. Digital image processing, on the other hand, is used for the manipulation of digital images. All types of data have to undergo the three standard phases: preprocessing, enhancement, and display information extraction. Here, we will be discussing digital image processing.

## What is an Image?

Since we are discussing image processing, it is essential to know what an image is. Simply put, an image is a two-dimensional signal. Mathematically, it is defined as a function f(x,y), where x denotes the horizontal co-ordinate and y is the vertical co-ordinate. The value of f(x,y) at a point further represents the pixel value at that point of an image.

### Applications of Image Processing

As stated above, digital image processing is used in almost every technical field today. Its usage is not only restricted to altering the brightness and contrast of a photo or adjusting its spatial resolution. Instead, it is used in remote sensing, the medical field, computer vision, and pattern recognition in various ways. Below are some exciting applications of image processing:

• Image restoration, sharpening, and correction.
• Computer vision to allow computers and machines to view, identify, and process the environment around them. Some other examples include path recognition, obstacle detection, etc.
• Medical technology such as PET scans, Gamma-ray imaging, CT scan, X-ray imaging, and UV imaging.
• Video Processing that includes motion detection, frame rate conversion, noise reduction, etc.
• Pattern Recognition, which includes handwriting recognition, computer-aided diagnosis, and image recognition.
• Editing Apps and Social Media for filters to make images visually appealing. Filters are, in fact, one of the most exciting features of

## Want to dive deeper into Image Processing? Download this free Image Processing eBook now!

If you want to explore more image processing and how you can use it for your application and requirements, then this free Image processing eBook is all you need! You will learn everything from image processing techniques to fundamental intensity transformation functions. All you have to do is click on that link and download your file.

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