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Showing 1 to 7 of 7 for “"Structural similarity index measure"”.
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Self-supervised multi-contrast MRI denoising
… in Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM). These results underscore the potential of self-supervised learning to improve multi-contrast MRI image quality.
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An optimization-based approach to image fusion using structural similarity
… for solving optimization problems involving structural similarity index measure Mean. Image fusion involves combining multiple images to preserve their most desirable characteristics. The objective is to create a single enhanced image that can be utilized for various applications, including …
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Applying Flinet Deep Learning Model to Fluorescence Lifetime Imaging Microscopy for Lifetime Parameter Prediction
… (FCCP) consistently show the highest structural similarity index measure (SSIM) values across all parameters, suggesting the model performs best under these conditions. Control samples demonstrate stable, intermediate SSIM values, while inhibited mitochondria (Rotenone) samples …
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Time-Offset Fractional-N PLLs for Heterodyne FMCW SAR
… in the context of FMCW SAR. Simulations and measurements reveal that these spurii significantly degrade SAR image quality in terms of peak sidelobe ratio, structural similarity index measure and root mean square error. To combat this, several suppression techniques were assessed, namely: time …
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Combined robust and fragile watermarking algorithms for still images. Design and evaluation of combined blind discrete wavelet transform-based robust watermarking algorithms for copyright protection using mobile phone numbers and fragile watermarking algorithms for content authentication of digital still images using hash functions.
… The Peak Signal to Noise Ratio (PSNR), the Structural Similarity Index Measure (SSIM) and Normalized Correlation Coefficient (NCC) are used to evaluate the fidelity of the images. Several grey and still colour images are used to test the new robust algorithms. The new algorithms offered …
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Hyperspectral image compression using implicit neural representations
… to the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) metrics, the method developed in this study achieves state-of-the-art compression rates at low-bit rates. We also used a large hyperspectral image dataset, compressed it using our methods, and compared our …
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Molecular Simulation of Mutation Effects on Protein Folding and Function
… of those states and use an contact map based structural similarity index measure (SSIM) and residue-wise Kullback-Leibler divergence method to better understand the differences in the bound states between affinity matured and wild type construct. Interestingly, while our biased simulations do …