The Analysis and Discussion of Infrared Image Metrics

Abstract:

Aiming at the theory of infrared image quality evaluation, current image metrics are concluded and summarized in this paper. Meanwhile, 2 groups of contrast experiments are designed to get the values of 3 kinds of typical metrics (SV, TSSIM and TTSIM). Furthermore, the deficiencies of the current typical image metrics are analyzed in the light of the experimental results. What's more, the bottleneck and challenge of the infrared image quality evaluation are foreseen and the probable solutions are briefly discussed based on the results.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 1559-1562
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.1559
• Online since: August 2014
• Authors: Xin Zheng*, Bo Tian, Yan Xing
• Keywords: Infrared Image Quality Evaluation, Performance Evaluation of Image Processing Algorithms, Statistical Variance, Target Structure Similarity, Target Texture Similarity

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