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Enhanced structural similarity : an improved structural similarity index [PDF]
, 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
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Complex Wavelet Structural Similarity: A New Image Similarity Index
IEEE Transactions on Image Processing, 2009We introduce a new measure of image similarity called the complex wavelet structural similarity (CW-SSIM) index and show its applicability as a general purpose image similarity index. The key idea behind CW-SSIM is that certain image distortions lead to consistent phase changes in the local wavelet coefficients, and that a consistent phase shift of the
Zhou Wang, Alan C Bovik, Mia K Markey
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A comprehensive assessment of the structural similarity index
Signal, Image and Video Processing, 2009In recent years the structural similarity index has become an accepted standard among image quality metrics. Made up of three components, this technique assesses the visual impact of changes in image luminance, contrast, and structure. Applications of the index include image enhancement, video quality monitoring, and image encoding.
Richard Dosselmann, Xue Dong Yang
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An empirical assessment of the structural similarity index
2009 Canadian Conference on Electrical and Computer Engineering, 2009This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed.
Richard Dosselmann, Xue Dong Yang
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A local intensity adaptive structural similarity index
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012Existing 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, Chuohao Yeo
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Video object tracking with differential Structural SIMilarity index [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 The 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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A New Index to Evaluate Solutions in the CLONALG Algorithm: Structural Similarity Index [PDF]
, 2010 A new heuristic is proposed as a modification to the clonal selection based algorithm called the CLONALG of Artificial Immune Systems. In the CLONALG algorithm, the objective function values of the antibodies are used as an index for affinity, selection and mutation. It does not include a specified set of antigens to solve optimization problems.
Raja Ram M. R. Muddada +3 more
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Synthetic Infra-Red Image Evaluation Methods by Structural Similarity Index Measures [PDF]
Electronics (Switzerland), 2022 For synthetic infra-red (IR) image generation, a new approach using CycleGAN based on the structural similarity index measure (SSIM) is addressed.
Sky H Lee, Henzeh Leeghim
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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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