Image processing is a process in which the low quality of an image is inserted into the digital computer and as an output, a high quality image comes. It is also known as ‘Digital Image Processing. Image processing and computer vision are of significant importance to any field where images are supposed to be enhanced and analyzed. Areas, where they play an important role, are remote sensing, surveillance, inspection, and more.
Image processing is a unit of digital computation that has emerged as an academic discipline and is in demand today. Students of this field will benefit from the visual realization of various fundamental concepts and learn how to implement algorithms efficiently.
Following
are some very creative and informative research topics in image processing:
Image
Formation
It
is a process in which radiometric and geometric processes are encompassed by
which 2D images are formed from 3D objects. An illuminated object disperses
light towards a lens that further focuses on the light to create an image.
Image
Filtering
It
is a theory that involves the use of window operations to perform important
functions such as noise removal, image enhancement, and more. Image filtering
is, therefore, a technique by which size, color, shape, and other
characteristics of an image are filtered and enhanced. Various graphical
editing techniques that are available on editing software are used to transform
an image. Hence, it enhances and modifies an image.
Image
Enhancement
It
is a process that highlights or eliminates specific information of an image
such as noise removal, refining blurred details, and more. Image enhancement
provides a better picture for the viewer to see.
Image Mosiacing
It
is a process in which multiple images are constructed of the same scene into a
larger image. The output of the image is the combination of the two images of
the same scene. This technique is generally used on several images like digital
images and more.
Image
Histogram
It
is a technique that acts as a graphical representation of tones of an image. It
provides with different pixels for each tonal value. Nowadays, all digital
cameras have an image histogram that helps in showing the distribution of
tones. In the field of computer vision or image processing, an image histogram
can be very useful in segmenting the images.
Image
Deblurring
It
is the process of removing blurred features from an image, for example- an
image taken from a digital camera turns out to be blurred due to shaken hands
or the object. This image can be deblurred by using the image deblurring
technique.
Underwater
Imaging Techniques
It
is one of the emerging research topics
in image processing. An underwater image is a low-quality image due to
absorption or dispersion underwater. Such images are corrected by using color
balance and then white balance.
Remote
Sensing
It
is the process in which information about an object is gained without involving
any physical contact with that object. It is opposite to on-site observation.
Remote sensing is generally sued to know things about the earth. It helps in
detecting and monitoring physical information about the earth. Researchers can
‘sense’ different things and activities of the earth with the help of remote
sensing.
Edge
Detection
It
is another technique of image processing that finds the boundaries of the
objects that are present within the images. It works by finding discontinuities
in the brightness of the image. Edge detection is generally used in data
extraction in areas such as image procession, machine vision, and computer
vision.
Image
Morphing
It
is a special effect that changes one image to another image and makes it look
like a seamless transition. It can also be used in audio recordings, for
example- change in voices or vocal lines. Different software is used for image
morphing such as after effects, elastic reality, FantaMorph, Morpheus, morph
thing, nuke, and more.
Object
Detection
It
is a computer technology of image processing that helps in detecting the
examples of semantic objects in a specific image. With object detection, it
becomes easy to find or locate or count the objects in an image and label
them.
We
have listed above some important research topics in image processing for
research students that will create a good base for their thesis by all
means.
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