huitailangyz / Just_Noticeable_Difference
A repository to caculate the just noticable difference of an image by Python
☆25Updated 4 years ago
Alternatives and similar repositories for Just_Noticeable_Difference
Users that are interested in Just_Noticeable_Difference are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach"…☆31Updated 4 years ago
- Light Field Messaging with Deep Photographic Steganography☆41Updated 4 years ago
- Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).☆120Updated 3 years ago
- The codes for the paper "A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking"☆48Updated 5 years ago
- Official pytorch implementation of paper "Image Disentanglement Autoencoder for Steganography without Embedding" (CVPR2022).☆48Updated 2 years ago
- This is the source code of paper FIN: Flow-based Robust Watermarking with Invertible Noise Layer for Black-box Distortions, which is rece…☆59Updated 8 months ago
- Distortion Agnostic watermarking based on DCT-Based Transformer☆11Updated 2 years ago
- ☆51Updated 2 years ago
- This is the source code of paper MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compressi…☆98Updated 10 months ago
- ☆52Updated last year
- PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k☆60Updated last year
- A unified interface for downloading and loading popular Image Quality Assessment (IQA) datasets.☆126Updated 6 months ago
- [TPAMI2023] Continual Learning for Blind Image Quality Assessment☆49Updated last year
- [CVPRW 2022] Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network☆83Updated 2 years ago
- [ICCV2021] IICNet: A Generic Framework for Reversible Image Conversion☆66Updated 3 years ago
- ☆22Updated 3 years ago
- Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"☆9Updated 3 years ago
- GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment☆43Updated 2 years ago
- Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)☆39Updated 4 years ago
- ☆19Updated 2 years ago
- [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.☆76Updated 3 years ago
- Paper 'Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms' in ACM Multimedia '22.☆58Updated 2 years ago
- FangHanNUS / PIMoG-An-Effective-Screen-shooting-Noise-Layer-Simulation-for-Deep-Learning-Based-Watermarking-NetwThis is the code for paper: ``PIMoG : An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network. .…☆66Updated 2 years ago
- This is a brief introduction of our proposed JND profile with totally new design philosophy based on KLT.☆31Updated 9 months ago
- Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network☆114Updated 4 years ago
- ☆13Updated 6 years ago
- ☆20Updated 5 months ago
- Tensorflow implementation of 'Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning'☆17Updated 6 months ago
- Code for VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment☆21Updated 2 years ago
- An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network☆223Updated 3 years ago