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MS-SSIM

A MS-SSIM score helps to analyze how much a De-warping module has been able to de-warp a document image from its initial distorted view.

Papers

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Showing 51–60 of 179 papers

TitleStatusHype
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
Deep learning-based bias transfer for overcoming laboratory differences of microscopic imagesCode0
Deep Image Compression via End-to-End LearningCode0
Image Super-Resolution Improved by Edge InformationCode0
Image Quality Assessment and Color DifferenceCode0
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsCode0
LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic SegmentationCode0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion ModelsCode0
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