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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 51–100 of 179 papers

TitleStatusHype
LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic SegmentationCode0
A study on the adequacy of common IQA measures for medical imagesCode0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
A Hitchhiker's Guide to Structural SimilarityCode0
SLIC: A Learned Image Codec Using Structure and ColorCode0
Deep Image Compression via End-to-End LearningCode0
Temporal Context Mining for Learned Video CompressionCode0
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy MinimizationCode0
Learning to Compress Videos without Computing MotionCode0
Human Perceptual Evaluations for Image Compression—0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
Image Coding via Perceptually Inspired Graph Learning—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs—0
Improved Image Coding Autoencoder With Deep Learning—0
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation—0
ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 - JCT3V-C0032: A human visual system based 3D video quality metric—0
HVS-Based Perceptual Color Compression of Image Data—0
JND-Based Perceptual Optimization For Learned Image Compression—0
Causal Contextual Prediction for Learned Image Compression—0
Learned Block-based Hybrid Image Compression—0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Learned Image Compression with Separate Hyperprior Decoders—0
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates—0
Learning Image and Video Compression through Spatial-Temporal Energy Compaction—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Learning True Rate-Distortion-Optimization for End-To-End Image Compression—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression—0
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation—0
MRI Image Generation Based on Text Prompts—0
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease—0
Multi-scale and Context-adaptive Entropy Model for Image Compression—0
Multiscale Motion-Aware and Spatial-Temporal-Channel Contextual Coding Network for Learned Video Compression—0
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition—0
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder—0
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model—0
Neural Video Compression using Spatio-Temporal Priors—0
Non-local Attention Optimized Deep Image Compression—0
Object Detection-Based Variable Quantization Processing—0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission—0
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video—0
Perceptual Video Compression with Neural Wrapping—0
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training—0
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