Engineering | SENSIP

Current research in image processing involves the investigation of the use of sparse representations in image coding, denoising and compressive sensing. In addition, algorithms for 2D to 3D image transformations are also developed. Research in video processing and analysis includes the design of strategies for energy-efficient transmission, distributed coding and compressive acquisition. Furthermore, implementation aspects using multi-core DSP platforms are also considered.


Current research in machine learning/computer vision at the SenSIP Center includes developing sparse representation based frameworks for object recognition and image retrieval, and investigating theoretical characteristics/performance of unsupervised clustering algorithms. In addition, efficient implementation of image retrieval systems using Graphical Processing Units and smartphones are performed.