University of Southern California University of Southern California Signal & Image Processing Institute USC Viterbi School of Engineering

Research Summaries and Recent Results

We have included here a brief description of some of the research projects currently underway within SIPI - clicking on the titles will connect you to a more detailed description. This list is representative rather than comprehensive and will be expanded in the near future. Detailed descriptions of this work are available in the open literature, more recent results are disseminated through the SIPI Technical Report Series.

Image and Video Compression: ( Prof. Ortega and Prof. Kuo )

Our research in image and video compression is concerned with two major areas, dealing with compression itself and with the system issues arising in visual communications.

First we are interested in achieving higher performance than existing algorithms, that is, reaching the same levels of perceptual quality at higher compression ratios. This area of research includes projects dealing with novel wavelet-based image coding techniques, some of which are being considered within the JPEG 2000 standardization process. It also includes research into post-processing and error concealment to improve the quality of the decoded image or video data. Finally, we are considering methods to improve the performance of existing compression standards, such as MPEG or H.263, through the use of rate-distortion optimization techniques and by designing algorithms that are scalable in terms of computation.

The second area of research deals with the system issues wich arise in audio-visual communications. We are interested in adding functionalities to compression algorithms so that they can support, for example, content based retrieval, robust transmission over heterogeneous networks or burst error wireless links. This work requires that trade-offs be made between the compression performance and the necessary changes to the algorithms to support the functionalities. Our research is being implemented in testbeds for distributed audiovisual communication and multimedia information retrieval over the Internet.

Immersive Audio:

Research in the immersive audio lab is focused on signal processing for loudspeaker-based 3-D audio reproduction, real-time video-based listener tracking for adaptive crosstalk cancellation, real-time HRTF synthesis for 5.1 channel rendering over two loudspeakers, and issues relating to reproduction of high-quality audio for the desktop.

Biomedical Imaging:

Research in medical imaging within SIPI focuses on aspects of medical image acquisition, reconstruction, and processing. In particular, the acquisition, reconstruction, and post-processing of MRI, PET, EEG, and MEG. Our MRI group is currently developing fast and robust techniques for high-field MRI (3 Tesla and higher). High field MRI provides high SNR, but is limited by artifacts from RF inhomogeneity and off-resonance, and by power deposition. We are developing new pulse sequences that are robust to these new constraints, and image reconstruction techniques that naturally compensate or correct image artifacts. We also have funded projects related to the development of Bayesian approaches to image reconstruction in positron emission tomography (PET), spatio-temporal estimation methods for localizing neural current sources from EEG and MEG data, and methods for the automated segmentation and labelling of brain structures in 3D MR images.

Free Space Digital Optics:

Our goal is to utilize the high data throughput potential of free space optical signal propagation in the design and implementation of novel high performance video and image processing systems, communication networks and page-oriented memory interfacing. The performance of chips and subsystems of current systems is limited by the relatively low data throughput of their internal chip-to-chip and board-to-board interconnections. These limitations will continue as the gap between on-chip and off-chip clock rates will grow much wider in the forseeable future as CMOS performance increases. We study free-space digital optics (FSDO) systems that use smart-pixel (SP) devices to provide high-density, high-information-capacity, parallel optical interconnections to electronic systems. Smart pixels are 'islands' of VLSI circuitry that integrate electronic processing and free-space optical I/O channels. Part of this research is the construction of working FSDO systems and the development of enabling system components such as diffractive optical elements (DOEs).

Integrated Media Systems Center:

The majority of the faculty of SIPI participate in the activities of the Integrated Media Systems Center (IMSC). IMSC is a research center concerned with the technological aspects of integrated media systems including data compression, heterogeneous computing, distributed databases, wireless communication, high-speed networks, augmented reality, and interactive multimedia. The Center is a member of the National Science Foundation Engineering Research Center Program and operates on the USC campus under the auspices of the Viterbi School of Engineering.

Laboratories

The Signal and Image Processing Institute has a wide range of laboratory facilities to support research and instruction in a variety of areas. Furthermore, the SIPI Computer Center has a variety of computing and image processing equipment used by the students, faculty and research staff.


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