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Formally, SSIM performs a comparison between a pristine reference image and a potentially corrupted version of the same image based on three independent components extracted at a single spatial scale (resolution): luminance, contrast, and structure. Each image's patch average represents the luminance information.
Mar 1, 2022
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We introduce a new approach for identifying patterns in time series, which evaluates the similarity by comparing the overall structure of candidate sequences ...
The similarity of candidate sequences is quantified by means of the novel distance measure, applied directly to the linear approximation of the time series. Our ...
The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures
In this paper, we propose a method to construct an image similarity measure based on actual data. The proposed method optimizes a similarity measure function by ...
We introduce a method that rationally extracts localized multiscale features from data, which may be thought of as the building blocks of the underlying ...
In this paper, we revise the original parameters of SSIM and its multi-scale counterpart (MS-SSIM) to increase their correlation with subjective evaluation.
Oct 22, 2024 · ... structural similarity pertains to the degree of similarity between two or more structures. This measure contrasts process models based on ...
May 14, 2024 · We propose TS3IM, an innovative metric for assessing structural similarity in time series data, inspired by the success of SSIM in image quality ...
The DSSIM is conceptually similar to the SSIM, but can be applied directly to the floating-point data as a means of assessing data quality.
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