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Chapter 6 - EXPLAIN THE APPLICATIONS OF DIGITAL IMAGE PROCESSING - Coggle…
Chapter 6 - EXPLAIN THE APPLICATIONS OF DIGITAL IMAGE PROCESSING
Explain the applications of digital image processing
What is term Digital Image Processing?
Digital image processing is the use of computer algorithms perform image processing on digital images.
The original image is preserved.
Image Anomalies
There are many images anomalies which may occur during the capturing or processing of the image.
Below are some examples of images anomalies.
Glare from the sunlight (reflection)
Processing chip is unable to perform (color overcast)
Various Techniques
Image Enhancement is any process intended to improve the visual appearance of an image.
Image Compression
Digital images produces a large amount of data to be stored.
Image compression techniques reduce the storage requirements by making image data files smaller.
There are two types of image compression:
"Lossless"
Lossless compression reduces the size of an image file without reducing image quality.
An example of a file format that uses lossless compression is the Graphical Interchange Format (GIF)
"Lossy"
In lossy compression, it removes images information that cannot be perceived by the human eye.
Usually you will notice the difference in quality. E.g. Photos in Facebook.
Disadvantages of compression
If you compress an image too much, you remove too much information resulting in:
Clear visible loss in quality
Image loses sharpness and begins to look like it is constructed of monochromatic fields of different sizes.
The most common type of lossy image compression method is JPEG (Joint Photographic experts Group), after the group that designed the method.
At the lowest levels of compression - when the image loses the least information, the file is reduced to about 1/10 of its original size and the loss cannot be perceived by the human eye.
JPEG compression allows you to set the amount of information that can be removed from the image and thereby control the level of image compression.
When an image is compressed more, you would perceive the change if you compared the two images.
Image restoration is any process applied to an image that totally removes the effects of that degradation.
Blur removal is a filtering technique designed to partially or completely remove an image blur imposed by a known cause-defocus and motion blur.
Color balancing is the adjustment of the color components of an image.
Geometric restoration is the removal of geometric distortion form an image. Its purpose is to restore the proper spatial relationships among the objects in the scene.
Digital Image Manipulation
Digital image manipulation is the altering of image using computer program tools and software to produce an artificial image.
Photos can be modified to produce a result so high in quality that it almost impossible to tell if the photo had been manipulated.
It involves already existing imagery, such as photographs, films or videos, being subsequently worked on in a multi media of possible ways.