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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
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level—0
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging—0
A study on the adequacy of common IQA measures for medical imagesCode0
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images—0
Similarity and Quality Metrics for MR Image-To-Image Translation—0
SLIC: A Learned Image Codec Using Structure and Color—0
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression—0
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression—0
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding—0
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