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Structural Similarity Index with Predictability of Image Blocks

2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET), 2018
Structural similarity index (SSIM) is a widely used full-reference metric for assessment of visual quality of images and remote sensing data. It is calculated in a block-wise manner and is based on multiplication of three components: similarity of means of image blocks, similarity of contrasts and a correlation factor.
Mykola Ponomarenko   +3 more
openaire   +2 more sources

Detection and Diagnosis of Bearing Faults Under Fixed and Time-Varying Speed Conditions Using Persistence Spectrum and Multi-Scale Structural Similarity Index

IEEE Sensors Journal, 2022
With the widespread use of variable speed drives, a robust scheme that can detect and diagnose bearing faults under fixed and variable speed conditions becomes essential for reliable operation.
Mohamed Esam El-Dine Atta   +2 more
semanticscholar   +1 more source

Enhanced structural similarity : an improved structural similarity index

2022
The Structural Similarity (SSIM) Index is a very widely used image/video quality model that continues to play an important role in the perceptual evaluation of compression algorithms, encoding recipes and numerous other image/video processing algorithms.
Venkataramanan, Abhinau Kumar   +1 more
openaire   +2 more sources

Face occlusion removal for face recognition using the related face by structural similarity index measure and principal component analysis

Journal of Intelligent & Fuzzy Systems, 2021
Facial occlusions like sunglasses, masks, caps etc. have severe consequences when reconstructing the partially occluded regions of a facial image. This paper proposes a novel hybrid machine learning approach for occlusion removal based on Structural ...
G. Rajeswari, P. Rani
semanticscholar   +1 more source

Fast structural similarity index algorithm

Journal of Real-Time Image Processing, 2010
The development of real-time image quality assessment algorithms is an important direction on which little research has focused. This paper presents a design of real-time implementable full-reference image quality algorithms based on the SSIM index [2] and multi-scale SSIM (MS-SSIM) index [3].
Ming-Jun Chen, Alan C. Bovik
openaire   +1 more source

The Structural SIMilarity Index for IMRT Quality Assurance: Radiomics-based Error Classification.

Medical Physics (Lancaster), 2020
PURPOSE The implementation of radiomics and machine learning (ML) techniques on analyzing two-dimensional gamma maps has been demonstrated superior to the conventional gamma analysis for error identification in intensity modulated radiotherapy (IMRT ...
Chaoqiong Ma   +6 more
semanticscholar   +1 more source

The Export Similarity Index: Some Structural Tests

The Economic Journal, 1983
In the September I98I issue of this JOURNAL, Richard Pomfret examines the similarity of non-oil, non-manufactured exports to the EEC from the three recent or prospective entrants (Spain, Greece and Portugal hereafter 'the Three') and from eleven other non-member Mediterranean countries., The technique used by Pomfret is an application of the newly ...
Kellman, Mitchell, Schroder, Tim
openaire   +1 more source

INDEX-BASED SIMILARITY SEARCH FOR PROTEIN STRUCTURE DATABASES

Journal of Bioinformatics and Computational Biology, 2004
We propose new methods for finding similarities in protein structure databases. These methods extract feature vectors on triplets of SSEs (Secondary Structure Elements) of proteins. The feature vectors are then indexed using a multidimensional index structure.
Orhan, Camoglu   +2 more
openaire   +2 more sources

XSIM: A structural similarity index measure optimized for MRI QSM

Magnetic Resonance in Medicine
The structural similarity index measure (SSIM) has become a popular quality metric to evaluate QSM in a way that is closer to human perception than RMS error (RMSE).
C. Milovic   +4 more
semanticscholar   +1 more source

A local intensity adaptive structural similarity index

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Existing structural similarity (SSIM) index comprises of one term on luminance comparison and the other term on contrast and structure comparison. In this paper, the SSIM index is first improved by introducing three weighting factors to the second term such that it is adaptive to local intensities of two images to be compared. The improved SSIM (iSSIM)
Zhengguo Li   +3 more
openaire   +1 more source

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