Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules.
Haisheng FuFeng LiangJianping LinBing LiMohammad AkbariJie LiangGuohe ZhangDong LiuChengjie TuJingning HanPublished in: IEEE Trans. Image Process. (2023)
Keyphrases
- mixture model
- image compression
- gaussian mixture model
- maximum likelihood
- gaussian mixture
- mixture components
- gaussian model
- em algorithm
- probabilistic model
- generative model
- gaussian densities
- density estimation
- unsupervised learning
- expectation maximization
- wavelet transform
- probability density function
- language model
- gaussian distribution
- logistic regression
- feature vectors
- mixture modeling
- sparse coding
- model selection
- density function
- mixture of gaussians
- image processing
- maximum a posteriori
- multiscale
- background subtraction
- pairwise
- unsupervised manner
- bayesian information criterion