An Extensive Comparative Analysis on Various Efficient Techniques for Image Super-Resolution

Rakesh Kumar Bhujade; Stuti Asthana

doi:10.46338/ijetae1122_16

journal article Nov 01, 2022

An Extensive Comparative Analysis on Various Efficient Techniques for Image Super-Resolution

International Journal of Emerging Technology and Advanced Engineering Vol. 12 No. 11 pp. 153-158 · IJETAE Publication House

View at Publisher Save 10.46338/ijetae1122_16

Abstract

The image up scaling and super resolution gain a attention now a days. Create a high-resolution image with help of a low-resolution image uses in many of the application. The optimization based super-resolution methods is principally driven by the choice of the objective function. Recently artificial intelligence based machine and deep learning methods are also using for the image processing application. It makes easy and efficient way of image super resolution. Recent work has generally centered around limiting the mean squared reproduction blunder. The subsequent evaluations have high pinnacle signal-tocommotion proportions, however they are much of the time lacking high-recurrence subtleties and are perceptually subpar as in they neglect to match the constancy expected at the higher resolution. This paper presents the comparative analysis of the efficient techniques for image super-resolution. Keywords—Image, Super, Resolution, AI, Machine learning, Deep Learning, Perfromance.

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Published: Nov 01, 2022
Vol/Issue: 12(11)
Pages: 153-158

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Cite This Article

Rakesh Kumar Bhujade, Stuti Asthana (2022). An Extensive Comparative Analysis on Various Efficient Techniques for Image Super-Resolution. International Journal of Emerging Technology and Advanced Engineering, 12(11), 153-158. https://doi.org/10.46338/ijetae1122_16

An Extensive Comparative Analysis on Various Efficient Techniques for Image Super-Resolution

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