Bayesian high-resolution reconstruction of low-resolution compressed video

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 25-28

  Segall, C A ^a   Molina, R ^a   Katsaggelos, A K ^a   Mateos, J ^a  

^a Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE RECONSTRUCTION; INTERPOLATION; MOTION ESTIMATION; SIGNAL TO NOISE RATIO;

BAYESIAN HIGH RESOLUTION RECONSTRUCTION; SPATIO TEMPORAL CORRELATION; VIDEO SEQUENCE;

IMAGE COMPRESSION;

EID: 0035168154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. A maximum A posteriori estimator for higher resolution video reconstruction from MPEG video
2. Extraction of high-resolution still from MPEG sequences
3. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
4. Super-resolution image estimation for transform coded video with application to MPEG
5. A unified approach to restoration, de-interlacing and super-resolution of MPEG-2 decoded video
6. Resolution enhancement of compressed low resolution video
7. Image and video compression algorithms based on recovery techniques using mean field annealing
8. Extraction of high resolution frames from video sequences
9. Enhancement of compressed video using visual quality metrics
10. Resolution enhancement of monochrome and color video using motion compensation