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Open AccessJournal ArticleDOI

A Comparative Analysis on Image Quality Assessment for Real Time Satellite Images

S. Rajkumar, +1 more
- 23 Sep 2016 - 
- Vol. 9, Iss: 34, pp 1-11
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TLDR
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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Citations
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References
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Journal ArticleDOI

A Review of Quality Metrics for Fused Image

TL;DR: In this article, the authors reviewed the various quality metrics available in the literature, for assessing the quality of fused image, and evaluated the performance of the fused image by two variants such as with reference image and without reference image.
Proceedings ArticleDOI

A survey of image quality measures

TL;DR: The purpose of this paper is to collect reported quality metrics and group them according to their strategies and techniques and provide a literature review of the current subjective and objective image quality measures.

Analysis Of Various Quality Metrics for Medical Image Processing

Ravi Kumar, +1 more
TL;DR: The comparative analysis of various quality metrics for medical image processing in terms of well known metrics such as Mean Squared Error, Structural Similarity Index Metrics, Peak Signal-to-Noise Ratio, Maximum difference, etc are presented.
Book ChapterDOI

Integrating Visual Saliency Information into Objective Quality Assessment of Tone-Mapped Images

TL;DR: A VS-based pooling strategy for the objective quality assessment of tone-mapped images is proposed and the experimental results clearly demonstrate the efficacy of the proposed method.
Journal ArticleDOI

Perceptual image quality assessment metric using mutual information of Gabor features

TL;DR: Experimental results show that the proposed metic has a high correlation with the subjective assessment and outperforms other state-of-the-art metrics.
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