Widely used technology
It has been seen over the last couple of decades that image processing is something which is very widely used. In fact, the majority of the currently active technical disciplines are making extensive use of image processing. They are several major applications associated with digital image processing. It should be understood that digital image processing is significantly more important than most people would imagine. It is used for significantly more than the adjustment of the spatial resolution relating to those images which are captured by camera every day. It is also used for more things than changing the brightness of photos. Research has shown that electromagnetic waves are actually a stream of particles. Every individual particle is moving at the speed of light. Because of this, each individual particle is full of energy. All of that collected energy is referred to as a photon. It is important to remember that in the electromagnetic spectrum only the visible spectrum can be observed by the human eye. As far as that visual spectrum is concerned this involves seven different colors such as red, yellow, orange, green, blue, indigo and violet. This is by no means an indication that invisible colors do not exist. Even though the human eye can only see the visible portion of the spectrum but a camera can see many other things which the human eye cannot see. There are other things such as gamma rays and x rays which makes it possible to see things which are normally hidden to humans. A lot of these things is done in digital image processing.
Why are the invisible things important?
The answers to this are simply that such invisible waves as x-rays have become very important in the medical field and likewise, the analysis of gamma rays has become increasingly important because of its relationship to not only astronomical observation but also nuclear medicine. There are many other things in the EM spectrum which are equally important. Many fields of research are depending upon digital image processing and the technology is used for many things such as medical applications. It is also used for image sharpening and restoration, transmission and encoding and remote sensing. It is also used for pattern recognition, microscopic imaging, color processing, and robot vision. As far as image sharpening and restoration is concerned this is mostly used when working with images which have been captured by cameras. The objective is to manipulate those images in order to improve the end result. This is similar to what is done in Photoshop today. This process includes things such as blurring, zooming, detecting edges, color conversion, image recognition, and image retrieval. There are many examples of how this technology is used such as with original images, blurred images, sharpened images, zoomed images, and edges. Image processing as a science has come a long way in the last couple of decades. A number of image processing applications have been developed and they are now widely used especially by researchers and other professionals.
Some of the most common medical applications as far as digital image processing is concerned is for things such as x-ray imaging, UV imaging, gamma-ray imaging, medical CT and Pet scan. UV imaging is today increasingly used to better understand the universe around us. When making use of remote sensing the surface of the earth is scanned by a satellite passing high above the earth. The collected data is then analyzed allowing researches to learn all kinds of things. Many people are aware of the extensive damage which is caused by earthquakes today. By making use of digital image processing it is now possible to determine infrastructure damages which have resulted because of such earthquakes. Without such technologies, it can take a considerable amount of time to calculate the amount of damage which has been caused. This is because large areas can be impacted by earthquakes. And this is why it can be difficult to accurately estimate the amount of damage which has been done. Without modern technologies, it can be a time-consuming procedure to accurately estimate all of the damage which has been caused. All of that has changed because of digital image processing which makes it possible to study images from the affected area which can then be analyzed in order to accurately calculate all of the damage which has resulted from an earthquake. Digital image processing becomes even more powerful as new technologies emerge.