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Multi-scale structural similarity index for motion detection
Journal of King Saud University: Computer and Information Sciences, 2017 The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos.
M. Abdel-Salam Nasr +2 more
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Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index [PDF]
Biosensors, 2021 Diffuse optical tomography is emerging as a non-invasive optical modality used to evaluate tissue information by obtaining the optical properties’ distribution.
Vicky Mudeng, Minseok Kim, Se-woon Choe
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Prospects of Structural Similarity Index for Medical Image Analysis
Applied Sciences, 2022 An image quality matrix provides a significant principle for objectively observing an image based on an alteration between the original and distorted images.
Vicky Mudeng, Minseok Kim, Se-woon Choe
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On the Mathematical Properties of the Structural Similarity Index [PDF]
IEEE Transactions on Image Processing, 2012 Since its introduction in 2004, the structural similarity (SSIM) index has gained widespread popularity as a tool to assess the quality of images and to evaluate the performance of image processing algorithms and systems. There has been also a growing interest of using SSIM as an objective function in optimization problems in a variety of image ...
Dominique Brunet +2 more
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Remote Sensing, 2022 In hyperspectral remote sensing, the clustering technique is an important issue of concern. Affinity propagation is a widely used clustering algorithm.
Haimiao Ge +5 more
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Geodesics of the Structural Similarity index
Applied Mathematics Letters, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dominique Brunet +2 more
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Enhancement of the structural similarity index SSIM
Informatika, 2018 Properties of a popular measure of comparing a digital image with a reference – the index of structural similarity, called SSIM in the literature – are explored. It is proved that the SSIM and its derivative functions are not metrics.
V. V. Starovoitov
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Geodesy and Geodynamics, 2023 Joint inversion is one of the most effective methods for reducing non-uniqueness for geophysical inversion. The current joint inversion methods can be divided into the structural consistency constraint and petrophysical consistency constraint methods ...
Sheng Liu +8 more
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Parameters optimization of the Structural Similarity Index [PDF]
London Imaging Meeting, 2020 Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R., & Vanneschi, L. (2020). Parameters optimization of the Structural Similarity Index. In London Imaging Meeting 2020: Future Colour Imaging (1 ed., Vol. 2020, pp. 19-23). (London Imaging Meeting).
Illya Bakurov +4 more
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Revisiting the use of structural similarity index in Hi-C [PDF]
Nature Genetics, 2021 Abstract Identification of dynamic changes in chromatin conformation is a fundamental task in genetics. In 2020, Galan et al. 1 presented CHESS (Comparison of Hi-C Experiments using Structural Similarity), a novel computational algorithm designed for systematic identification of ...
Hanjun Lee +3 more
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