Implementation of a Novel Blind Quality Evaluation Algorithm for Natural Scene Statistics Images

  • Gopika S, D Malathi

Abstract

Present world works with digital images and digital content in each and every day in life. But the consideration behind it in the area of quality of the content is currently less and is increasingly becoming popular. Our work is mainly in the area of tossing light towards the Blind or No reference quality analysis of Natural Scene Statistics(NSS) images and to the possible extent repairing it after judging its quality. The study, experiment and analysis of the result is carried out with the help of distortion aware and opinion unaware NSS images collected from LIVE dataset and the results have shown achievement in the direction of proper quality estimation and correction of noisy images.

Keywords: Natural Scene Statistic; opinion unaware; denoising; MSCN coefficients; opponent color space.

Published
2020-05-06
How to Cite
Gopika S, D Malathi. (2020). Implementation of a Novel Blind Quality Evaluation Algorithm for Natural Scene Statistics Images. International Journal of Advanced Science and Technology, 29(06), 2777 - 2787. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/13769