Reduced-complexity iterative post-filtering of video

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 11, Issue 10, 2001, Pages 1121-1127

  Robertson, M A ^a   Stevenson, R L ^a  

^a University of Notre Dame   (United States)

Author keywords

Compressed video post processing; Iterative filtering; MAP post processing; Quantization constraint set

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ITERATIVE METHODS;

COMPRESSED VIDEO POST PROCESSING;

IMAGE COMPRESSION;

EID: 0035473235     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/76.954498     Document Type: Article

References (16)

1. A generalized Gaussian image model for edge-preserving MAP estimation
2. A fast computational algorithm for the discrete cosine transform
3. Gibbs random field model based weight selection for the 2-D adaptive weighted median filter
4. Improved image decompression for reduced transform coding artifacts
5. Reducing the complexity of iterative post-processing of video
6. Reducing the computational complexity of a MAP post-processing algorithm for video sequences
7. Reduction of coding artifacts in low-bit rate video coding
8. Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images
9. Removal of compression artifacts using projections onto convex sets and line process modelling
10. Iterative procedures for reduction of blocking effects in transform image coding