Parameters optimization of the Structural Similarity Index

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Structural Similarity Index SSIMplified:

Starting instead from a symmetric-antisymmetric reformulation we first show SSIM to be a contrast or visibility function in the classic sense. Furthermore, the previously enigmatic structural covariance is revealed to be the difference of variances. The second step, eliminating the intrinsic quadratic nature of SSIM, allows a near linear correlation with human observer scores, and without invok...

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We construct metrics from the geodesics of the Structural Similarity index, an image quality assessment measure. An analytical solution is given for the simple case of zero stability constants, and the general solution involving the numerical solution of a nonlinear equation is also found. © 2012 Elsevier Ltd. All rights reserved.

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Influence of the Smooth Region on the Structural Similarity Index

The Structural Similarity (SSIM) Index is a very popular image quality assessment algorithm due to its good performance and simple calculation. This paper analyzes the influence of the smooth region on the performance of SSIM. It was found out that SSIM tends to depend on the quality of the smooth region to assess the quality of the whole image. From analysis by means of the SSIM quality map, w...

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Three-Component Weighted Structural Similarity Index

The assessment of image quality is very important for numerous image processing applications, where the goal of image quality assessment (IQA) algorithms is to automatically assess the quality of images in a manner that is consistent with human visual judgment. Two prominent examples, the Structural Similarity Image Metric (SSIM) and Multi-scale Structural Similarity (MS-SSIM) operate under the...

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ژورنال

عنوان ژورنال: London Imaging Meeting

سال: 2020

ISSN: 2694-118X

DOI: 10.2352/issn.2694-118x.2020.lim-13