Super Resolution CNN Algorithm to Improve The Quality Of Degraded Images.

Authors

  • Pradeep Kumar K

Keywords:

logical exploration, High Resolution Low Resolution, convolutional Neural Network.

Abstract

Huge information carries advantages to numerous territories of logical exploration, anyway handling these a lot of information regularly requires broad registering time and a huge extra room. Super Resolution project, thinks about critical areas, and accordingly proposes another super goal approach that utilizes huge and wide-ranging data under the structure of a CNN. The preparation interaction is accomplished for the huge pieces of informational collection, reproduction cycle which are been considered critical parts independently. The focal point of Super Resolution is to create a higher goal picture from lower goal pictures.

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Published

2021-08-11

How to Cite

Pradeep Kumar K. (2021). Super Resolution CNN Algorithm to Improve The Quality Of Degraded Images. Journal of Research Proceedings, 1(2), 364–370. Retrieved from http://i-jrp.com/index.php/jrp/article/view/73