Updated July 5, 2023
Introduction to Application of Digital Image Processing
Application of Digital Image processing can understand stand by this that the fields and areas on which digital image has given its impact and become more and more useful for that sector, area, or field. We have a wide range of areas where the digital image has a good impact. In other words, you can find it in almost every sector, which means the processing of digital images has not ended up enhancing image quality or manipulation of it. Rather than it has more work than this. So today, in this article, we will have a look at some of the major applications of digital image processing and have good knowledge about them.
But before starting our discussion about the application of digital Image processing, let us have a quick look at what is digital image processing. Digital Image processing includes making changes in the magnitude of the image in two dimensions in a limited range. In other words, you can understand it by making different arrangements in pixels of an image (which is an element of the image) for enhancing image properties. I think now you have an idea of how we can use digital image processing, so let us have a good discussion on it for a better understanding of this topic.
Major Application of Digital Image Processing
We have a number of applications for digital image processing, but in this article, we will go through some of the major applications. The very first application is in the analysis of rays other than visible rays of Electromagnetic spectrum.
In Analysis of Rays of Electromagnetic Spectrum which Can’t be Seen by Naked Eye
Before explaining this application of digital image processing, we have to go through what we do in the Electromagnetic Spectrum. It has a different type of data of visible light that has seven colors such as violet, indigo, blue, green, orange, yellow, and red in this sequence, we use a term (VIBGOYR) for these colors on the spectrum, but we have some invisible rays with these rays such as x-ray, gamma- ray and some other. The naked eye can’t see these rays but catch them by the camera, so through digital image processing, we can get analysis for these rays also.
The analysis of these rays is important because we use X-rays for different types of medical diagnosis purposes, and same as we use Gamma rays in nuclear medicine as well as in the observation of astronomical work. The next important application of digital image processing is the Sharpening and Restoration of Images.
In Sharpening and Restoration
In this application, we can enhance image properties by making some changes, the same as we do in Photoshop, which is a type of image editing software. We can remove blur or add blur according to our requirement, correction of the tone of the image, color conversion, and many more image manipulation work. The next important application on our list is ‘Remote sensing.’ Let us see what it is.
In Remote Sensing Field
During any disaster on our earth, satellites scan our earth’s surface from a high distance for analysis of losses and for gathering other important data on the earth’s surface. We use remoting sensing techniques, and it can easily be done by digital image processing for getting an almost clear image of the earth’s surface or data-gathering objects. The next application is the Transmission and Encoding area.
In Image Transmission and Encoding
We are used to watching a lot of live video telecasts within seconds, and this transmission become possible due to digital image processing with high quality. Digital image processing also helps in encoding high or low-bandwidth images for streaming them on the internet or other digital works. Let us move to the next application, which is the Vision of machines or robots.
In Vision of Machine/Robot
Robots and some machines are helping us in many ways in the enhancement of our day-to-day activity, but there is some problem occurring in the scanning and vision of these computerized and programmed systems. So digital image processing enhances the vision ability of these machines and robot day by day by making different variations in its processing. Our next application is getting aware of any obstacles in the way of robots or any programmed system.
In Detection of Obstacles
By image processing, we can easily scan object which comes in the way of something as well as the distance of that object for getting the proper location of that object. The robot and some computer-guided equipment do this type of detection. Next is a clear guideline for robots.
In Correct Follow-up Of Path of Robots
Robots’ working depends on program feeds in them, and some are designed for working on the repeated path, so image processing helps in following the correct path of the robot and enhances their working quality. Next is color processing.
Processing of Color of Image
In this processing, we can encode the colors of images also with them with the help of digital image processing during transmission, storage as well as encoding. It works on different colors which are compatible with digital platforms such as RGB, HSV, and some others. Next is video processing.
In Video Processing as Well as Transmission
With digital image processing, we can maintain color conversation from one frame to another frame during the movement of pictures in the video, can maintain noise during processing, and do many other similar works for good quality results. Next is pattern recognition.
In Recognition of Pattern
Everything in today’s world is becoming digitalized and full of artificial intelligence, and artificial intelligence has different types of patterned designs which can have determined by image processing easily.
Conclusion
Now after this article, we can say that we have good knowledge about the impact of digital image processing on different digital platforms, and we can also make it useful for our personal work by analyzing the fundamentals of digital image processing. You can go with our ‘Fundamentals of Digital Image Processing article for more knowledge about this.
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