bdaehlie / lossy-compression-testLinks
A system for testing lossy image compression.
☆15Updated 8 years ago
Alternatives and similar repositories for lossy-compression-test
Users that are interested in lossy-compression-test are comparing it to the libraries listed below
Sorting:
- a fast range coder in C++, using SSE☆67Updated last year
- Context Adaptive QM Coding☆19Updated 11 years ago
- Bjontegaard metric calculation. Include BD-PSNR and BD-rate☆152Updated 5 years ago
- ☆66Updated 3 years ago
- Visualize HEVC CU partition and TU partition☆17Updated 5 years ago
- Visualize VVC(VTM) CU/TU partition☆28Updated 4 years ago
- Code and data for "Content-aware Convolutional Neural Network for in-loop filtering in High Efficiency Video Coding." (TIP2019)☆24Updated 6 years ago
- Python port to the VTM CABAC engine via pybind11☆27Updated this week
- ☆96Updated last year
- Official PyTorch Implementation of Fidelity Controllable Extreme Image Compression with GAN☆33Updated 2 years ago
- ☆31Updated 8 years ago
- ☆168Updated 6 years ago
- Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.☆128Updated 4 years ago
- ☆35Updated 5 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆146Updated 5 years ago
- PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"☆62Updated last year
- Excel VBA code for calculating Bjontegaard Delta SNR and Rate, using arbitrary number of data points. Complies with VCEG-M33 when using 4…☆88Updated 2 years ago
- A lightweight rANSCoder meant for rapid prototyping.☆20Updated 2 years ago
- Lossy compression; Variable rate compresson; Lossless compression;☆62Updated 2 years ago
- Semantic JPEG image compression using deep convolutional neural network (CNN)☆332Updated 2 years ago
- Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371☆19Updated 2 years ago
- ☆63Updated 5 years ago
- TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018☆180Updated 6 years ago
- C++ implementation of Bjontegaard Delta SNR and Delta Rate metric☆10Updated 2 years ago
- Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"☆198Updated 5 years ago
- End-to-End Learnt Image Compression Codec☆52Updated 2 years ago
- ☆72Updated 3 years ago
- A large-scale database for CU partition of HEVC (CPH), at both intra- and inter-modes.☆64Updated 6 years ago
- Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).☆327Updated 2 years ago
- Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural n…☆29Updated 6 years ago