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Fast structural similarity index algorithm
Journal of Real-Time Image Processing, 2010The 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
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The Export Similarity Index: Some Structural Tests
The Economic Journal, 1983In 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
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Design of Linear Equalizers Optimized for the Structural Similarity Index
IEEE Transactions on Image Processing, 2008We propose an algorithm for designing linear equalizers that maximize the structural similarity (SSIM) index between the reference and restored signals. The SSIM index has enjoyed considerable application in the evaluation of image processing algorithms. Algorithms, however, have not been designed yet to explicitly optimize for this measure. The design
Sumohana S. Channappayya +3 more
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INDEX-BASED SIMILARITY SEARCH FOR PROTEIN STRUCTURE DATABASES
Journal of Bioinformatics and Computational Biology, 2004We 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 Çamoglu +2 more
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Influence of the Smooth Region on the Structural Similarity Index
2009The 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.
Songnan Li, King Ngi Ngan
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Envelope parameter calculation of similarity indexing structure
1998Similarity Indexing is very important for content-based retrieval on large multimedia databases, and the “tightness” of data set envelope is a factor that influences the performance of index. For equidistant envelope (bounding sphere), calculation of envelope is somewhat difficult because of the complexity of direct computation in high dimension space.
Xuesheng Bai, Guangyou Xu, Yuanchun Shi
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Image Structure Subspace Learning Using Structural Similarity Index
2019Literature has shown that Mean Squared Error is not a promising measure for image fidelity and similarity assessment, and Structural Similarity Index (SSIM) can properly handle this aspect. The existing subspace learning methods in machine learning are based on Euclidean distance or MSE and thus cannot properly capture the structural features of images.
Benyamin Ghojogh +2 more
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Design of synthesis filter banks for the structural similarity index
2013 IEEE International Conference on Image Processing, 2013The optimal synthesis filter bank (FB) is designed for a given analysis FB by using the structural similarity (SSIM) criteria. Under the assumption that the source signal is a wide sense stationary (WSS) process with known power spectral density (PSD), that the noise is Gaussian white, and that the filter length is equal to the decimation number, the ...
Li Chai 0001 +2 more
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Video object tracking with differential Structural SIMilarity index
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared with similar methods based on colour and edge histograms and Bhattacharyya distance.
Artur Loza +3 more
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Similar shape retrieval using a structural feature index
Information Systems, 1993Abstract In image database systems, we often want to retrieve images whose contents satisfy certain conditions specified in an iconic query (i.e. queries that involve input images and conditions on them). One type of image data retrieval called ‘shape similarity-based retrieval” involves retrieval of images containing one or more shapes similar to ...
James E. Gary, Rajiv Mehrotra
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