Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction.
Jing MuRuiqin XiongXiaopeng FanDong LiuFeng WuWen GaoPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- artifact reduction
- low rank
- compressed images
- image compression
- minimization problems
- convex optimization
- rank minimization
- trace norm
- semi supervised
- norm minimization
- reconstructed image
- wavelet transform
- compression ratio
- discrete cosine transform
- low rank matrix
- matrix factorization
- singular value decomposition
- linear combination
- missing data
- convex relaxation
- matrix completion
- subband
- kernel matrix
- compression algorithm
- interior point methods
- high order
- image processing
- projections onto convex sets
- visual quality
- total variation
- dct domain
- high dimensional data
- pairwise
- bitstream
- image restoration
- image quality
- video sequences