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What is Digital Image Processing and applications?

 

Digital image processing requires image conversion via digital methods. It depicts various numerical images in front of the students of best engineering colleges in Jaipur to obtain a desired result including digital enhancement, image compression or automated classification of targets. Digital images are made up of pixels, which have discrete numeric representations of intensity. They are fed into the image processing system via spatial coordinates and stored in a format compatible with digital computers to use digital images.

Unlike traditional analog cameras, digital cameras have pixels in different colors. The computer can recognize the differences between the colors by looking at their saturation, hue, and brightness. Then, it processes the data via a process called grayscaling which then turn RGB pixels into one value. As a result, the amount of data in a pixel decreases, and the image becomes more compressed and easier to view.

Images are captured in a two-dimensional space. Thus, a digital image processing system can easily analyze that data. Then, the system will use different algorithms to generate output images. This process gets completed in four simple steps including image acquisition, enhancing and restoring the image, image transformation into a color image, which later converts the image into a digital file.

Applications Of Digital Image Processing

Some of the major fields in which digital image processing is widely used are as follows:

Image sharpening and restoration

Image sharpening and restoration mainly refers to process images that have been captured from the today’s modern camera. It makes them a better image or to manipulate those images in way to achieve desired result. Students of top engineering colleges in Jaipur refers to do what Photoshop usually does. This includes Zooming, sharpening, blurring, gray scale to color conversion, detecting edges and vice versa, Image retrieval and Image recognition.

Medical field

The common applications of DIP in the field of medical is Gamma ray imaging, PET scan, X Ray Imaging, Medical CT, UV imaging, etc.

Transmission and encoding

Today, we can see live video feed, or live cctv footage from one continent to another with just a delay of seconds. In other words, a lot of work has been done in this field too. This field does not only focus on transmission, instead it laid great emphasis on encoding too. Many different formats have been developed for high or low bandwith to encode photos and then stream it over the internet.

Machine/Robot vision

Apart from different challenges that a robot face today, one of the biggest challenges still is to increase the vision of the robot. Make robot able to see things, identify them, identify the hurdles etc. large amount of work has been contributed by this field and a complete other field of computer vision has been introduced by the students of engineering colleges Jaipur to work on it.

Hurdle detection

Hurdle detection is one of the common tasks that has been done via image processing. It first identifies different type of objects in the image and then calculate the distance between robot and hurdles.

Line follower robot

In today’s age, most of the robots work by following the line and thus are called line follower robots. This helps a robot to move on its path and perform some important tasks. Also, this has been achieved through image processing.

Color processing

Color processing includes processing of colored images and various different color spaces that are used. For instance, RGB color models like YCbCr, HSV. It also involves studying transmission, storage, and encoding of these color images.

Pattern recognition

Pattern recognition involves study from image processing and various other fields that includes machine learning, which is a branch of artificial intelligence. In pattern recognition, students of best BTech colleges in Jaipur use image processing for identifying the objects in an image and further uses machine learning to train the system for the change in pattern. Pattern recognition is used in computer aided diagnosis, recognition of images, recognition of handwriting, etc.

Video processing

A video is more than the very fast movement of pictures. The quality of the video depends on the number of frames/pictures per minute and the quality of each frame being used. Video processing includes detail enhancement, noise reduction, motion detection, frame rate conversion, aspect ratio conversion, color space conversion, etc.

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