Do you know the elementary concept behind Face recognition while tagging a friend in the most popular social media platform, Facebook? Well, such revolutionary conceptions are truly inept without the applications of digital image processing. Digital image processing is an essential branch of engineering that features a lot of potentials, and for this reason, most students in the UK emphasize more on grasping essential knowledge.
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Digital image processing is the effective use of the various computer-based algorithm for processing images using digital means. Being one of the crucial digital signal processing fields, this revolutionary way of image processing is outstanding over analog image processing.
In this, the raw data get transformed into a color-corrected picture within a prescribed image file format through the image sensor. The main purpose of digital image processing is to enhance the picture quality, and it is quite useful for intelligent transport systems, traffic signboards, flyers and digital hoardings.
Digital image processing controls various digital images using a digital computer; it receives a digital image as an input, processes the same using effective algorithms and produces an exceptional and crystal-clear image as output. Applications like Adobe Photoshop is one of the widely used digital image processing software at current times.
The binary format image features only two-pixel elements such as 0 & 1, where the zero denotes black, and 1 denotes white. It is also popular as a monochrome.
In this type of image, you will find only two colors, such as black and white.
The 8-bit color format features 256 shades of color and also known as a Grayscale image. In this type of image, the 0 defines the black color, 255 defines white, and 127 is for Gray.
The 16-bit color format is also known as a high color format, and it is quite different from the Grayscale image.
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Acquisition in digital image processing is an important aspect that manages the scaling and color conversion, such as RGB to Gray or Gray, to RGB.
It is primarily used for deriving the unseen details from an image and one of the most appealing stages of image processing.
Image restoration is all about applying various mathematical models for making an image appealing, and it is quite different from the image enhancement process.
Various color models are used in the image for the effective processing of the image for better viewing.
Image compression deals with the sizing and resolution of the image for making it appealing and standard.
Morphological processing uses various advanced tools for extracting the image components that effectively represent and shape the image.
Image processing can be divided into two categories, such as analog image processing and digital image processing. Analog image processing is all about applying the analog signals, and it is applicable only for the two-dimensional analog signals. Common examples of analog image processing include photographs, painting and TV images. On the other hand, digital image processing is exclusively for digital images, and aspects like color processing and image recognition come under this field.
Digital Image Processing is useful in image shaping and restoration in the medical field for UV imaging, Gamma-ray Imaging, in remote sensing, and for zooming the photographs, blurring and sharpening.
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