Paper Title
A Review on Super Image Resolution Techniques

Abstract
Conversion from multiple low resolution (LR) images to high resolution (HR) image is done by using superresolution techniques. Anyone can achieve more information in detail from high-resolution images, which helps further for many satellite image applications. This growing technology interest in the reconstruction of imagery leads to several methodologies in the field of advanced digital color image processing. The study presents and describes the various conventional algorithms of image SR reconstruction used to date by researchers. In this review paper, we have shown different types of super-resolution techniques starting from image noisy to remotely sensed imagery for super-resolution mapping at a sub-pixel level with their characteristics and major limitations. A precise comparative study was done on different domains like spatial and frequency as shown separately in tabular form. Keywords - Super Resolution (SR), High Resolution (HR), Low Resolution (LR), Image Processing, and Sub-pixel Classification

Author - Ashutosh Shrivastava, Prashant Tamrakar, Rahul Mishra

Published : Volume-10,Issue-5  ( May, 2023 )

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