Image processing is the way of converting an image into a digital aspect and carry out certain functions on it. To get a highly enhanced image, or for extracting some useful information from it, image processing is highly useful.
Normally, the image processing method includes treating images as 2 equal symbols while using the set methodologies.
In today’s world, image processing is one of the fastest-growing fields. Basically, image processing involves the following 3 steps. They are:
Importing an image with an optical scanner or digital photography
Analysis and image management that includes data compression and image enhancement and visual recognition patterns like satellite imagery.
Image processing involves the final stage when the result can be converted to an image or report on the basis of image analysis.
Libraries involved in image processing
Here we have given some libraries that are highly involving in performing image processing in python. They are as follows:
Why do we need image processing?
Image processing is often regarded as improperly exploiting an image for achieving a level of perfection or to support a popular reality. However, image processing is accurately defined as a meaning of translation between a human viewing system and digital imaging devices.
Image processing is mainly involving in the following 3 steps. They are:
a)Importing an image with image detection tools
b)Exploring and manipulating an image
c)An outcome where it can be improved or reported
Here we have given some of the reasons why image processing is so important in computer applications.
Image improvement for human perception to improve subjective image quality.
Image improvement for machine perception aims to simplify the subsequent image analysis and recognition.
Image transformation for technical needs for changing image resolutions and aspect ratio for displaying on mobile devices.
It is highly involving in pure entertainment. It aims to get an artistic impression from the cool visual effect.
PhD in Image processing
A PhD in image processing is an in-depth research project on an academic topic that is focused and yet highly specialized.
Image processing will be creating a big impact on this digital world. This has its deep root in most of the research areas.
Medical Image Processing
Recent trendy research topics in image processing
Captured vehicle Image Surveillance
Landslide and radio monitoring
Pedestrian Detection and Distance prediction
Automatic disease symptoms detection
Deforestation analysis system
Lung/Breast/Brain tumor detection
EEG based autism spectrum disorder diagnosis
Low-resolution video surveillance
Analyzing Human behaviors in smart classroom
PhD in Image processing in Indian Universities
BITS, Pilani University
Central University of Rajasthan
Awadhesh Pratap Singh University
Disadvantages of Image processing
The initial cost can be high depends upon the system used
The chance of copyright risk is more
Photo file management difficulties
High computer skills required
Too many functions
Display screen glare
Advantages of Image processing
The processing of the image is faster and most cost-effective
In digital image processing, instantly one can predict that the image is looking good or bad.
By changing the image format and resolution, the image can be utilized in a number of media.
Future scope of image processing
It is having a high level of demand in future image processing technology
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