Authors :
Dr. Naveena C; Thanush M; Vinay N.B; Yaser Ahmed N
Volume/Issue :
Volume 5 - 2020, Issue 7 - July
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3jsA1iQ
DOI :
10.38124/IJISRT20JUL185
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The project entitled “Super-Resolution: A
simplified approach using GANs”, aims to construct a
Higher Resolution image from a Lower Resolution
image, without losing much detail. In other words, it is a
process of up-sampling of an under-sampled image. In
the current scenario, there is a high reliance on
hardware improvements to capture better highresolution images. Although many digital cameras
provide enough HR-imagery, the cost to construct and
purchase such a high-end camera is high. Also, many
computer vision applications like medical imaging,
forensic and many more still have a strong demand for
higher resolution imagery which is likely to be exceeded
by the capabilities of these HR digital cameras we have
today. To cope with this demand, a method to generate
an HR image is shown using Generative Adversarial
Networks (GANs).
Keywords :
Super resolution, Deep learning, GANs, Image enhancement.
The project entitled “Super-Resolution: A
simplified approach using GANs”, aims to construct a
Higher Resolution image from a Lower Resolution
image, without losing much detail. In other words, it is a
process of up-sampling of an under-sampled image. In
the current scenario, there is a high reliance on
hardware improvements to capture better highresolution images. Although many digital cameras
provide enough HR-imagery, the cost to construct and
purchase such a high-end camera is high. Also, many
computer vision applications like medical imaging,
forensic and many more still have a strong demand for
higher resolution imagery which is likely to be exceeded
by the capabilities of these HR digital cameras we have
today. To cope with this demand, a method to generate
an HR image is shown using Generative Adversarial
Networks (GANs).
Keywords :
Super resolution, Deep learning, GANs, Image enhancement.
