A Comparative Analysis on Image Quality Assessment for Real Time Satellite Images
23 Sep 2016-Indian journal of science and technology (The Indian Society of Education and Environment)-Vol. 9, Iss: 34, pp 1-11
TL;DR: The characteristics of different quality metrics are concluded and further the quality metric appropriate to various distortions are identified and the proposed quality metric is successfully identified.
Abstract: Objectives: The objective of this paper is to analyze the different image quality metrics by testing and comparing with different distorted set of satellite images. Methods/Statistical Analysis: In this paper, we propose the methods for analyzing the quality of real time images that are corrupted due to different distortions. The several quality metrics are applied and ultimately the best metrics are derived based on the type of degradation. Different metrics such as metric based on single image and metric based on two images have been tested with different real time satellite images from NASA data sets. Findings: This framework will help to identify the metrics in order to prove the proposed filtering schemes that are applied to the corrupted images. Based on the results, we have concluded the characteristics of different quality metrics and further we successfully identified the quality metric appropriate to various distortions. Application/Improvements: The proposed quality metric analysis is used to estimate the performance of any filtering schemes which are used to enhance the quality of any real time images such as remote sensing field.
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References
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TL;DR: Theoretically, the algorithm of image quality assessment based on edge information and Singular Value Decomposition is better than traditional methods and the proposed algorithm can basically be able to meet the practical demand, and the algorithm is more usability.
Abstract: Due to the existing image quality assessment algorithm does not take the visual information and the essential features of the image into account and cannot meet the actual need, a new method of objective quality assessment which related to both cases was proposed in this paper. The singular value information of the image shows the essential information of image and human eyes are sensitive to the edge information of image. Theoretically, the algorithm of image quality assessment based on edge information and Singular Value Decomposition is better than traditional methods. The simulation experiment results show the proposed algorithm is more consistent with human subject scores and has greater stability than traditional methods. Through comparison with the time efficiency, the proposed algorithm can basically be able to meet the practical demand, and the algorithm is more usability.
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