Amanote Research
Register
Sign In
Residual Reconstruction for Block-Based Compressed Sensing of Video
doi 10.1109/dcc.2011.25
Full Text
Open PDF
Abstract
Available in
full text
Date
March 1, 2011
Authors
Sungkwang Mun
James E. Fowler
Publisher
IEEE
Related search
Perceptual-Based Compressed Video Sensing
IEICE Communications Express
Compressed Sensing Based Video Multicast
Optimal Permutation Based Block Compressed Sensing for Image Compression Applications
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Reconstruction of Wideband Radar Signal Based on Compressed Sensing
International Journal of Future Generation Communication and Networking
Computer Networks
Communications
Semantic Classifier Based on Compressed Sensing for Image and Video Annotation
Electronics Letters
Electronic Engineering
Electrical
Redundancy Reduction for Compressed Sensing Based Random Equivalent Sampling Signal Reconstruction
International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
Journal of Electrical and Computer Engineering
Electronic Engineering
Signal Processing
Electrical
Computer Science
Compressed Sensing Applied to Modeshapes Reconstruction
Conference Proceedings of the Society for Experimental Mechanics Series
Computational Mechanics
Engineering
Mechanical Engineering
Multiple Measurements Vectors Compressed Sensing for Doppler Ultrasound Signal Reconstruction