The Image and Signal Processing lab carries research aimed at acquiring, transmitting, interpreting and extracting information contained in signals. The signals addressed are: 1D Signal Processing (such as brain signals and audio), 2D signal processing (images) and 3D signal processing (videos, 2D and 3D television).
The research in 1D signal processing includes analysis, filtering, and enhancement of bio-signals (EEG, EOG and EMG, voice and baby crying sounds) with application to Brain Computer Interface (BCI) design, disease diagnosis, estimating the glottal waves and vocal-tract area functions and estimating the level of baby distress from his/her cry signals
The research in image and video processing involves filtering, enhancement, compression, coding, restoration, watermarking and multimedia hashing analysis. Applications includes monitoring of television systems and de-noising TV images (cable television and high definition television), face recognition, biometrics, analysis of medical images (mammography, cytometry, microscopy, computer tomography, X-ray), multimedia indexing and copyright detection and video resizing and interpolation.
More information on this research group can be found on the Image & Signal Processing website.
| In Press |
Generating the Depth Map from the Motion Information of H.264-Encoded 2D Video Sequence Journal Article | EURASIP Journal on Image and Video Processing |
| 2010 |
Robust Classifiers for Data Reduced via Random Projections Journal Article | Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on |
| 2010 |
Compressed sensing of color images Journal Article | Signal Processing |
| 2010 |
Adaptive Region-Based Image Enhancement Method for Robust Face Recognition Under Variable Illumination Conditions Journal Article | Circuits and Systems for Video Technology, IEEE Transactions on |
| 2010 |
Fast block-size partitioning using empirical rate-distortion models for MPEG-2 to H.264/AVC transcoding Conference Paper | Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on |
| Rabab Ward | Professor |
