Rapid advances in communication, sensing and computational power have led to an explosion of data. The usefulness of this resource for human knowledge is determined by its accessibility and portability, which present fresh challenges to existing techniques in terms of transmission, storage, querying, display and numerical manipulation. As a result, much current research eorts focus on developing more advanced techniques for the representation, processing, analysis and interpretation of these data sets. This requires and gives rise to new theories and new methods in the areas of approximation, imaging science, information processing, mathematical modeling, scientic computing and statistics.
In view of these exciting developments, the program \Mathematics and Computation in Imaging Science and Information Processing" was held in Singapore at the Institute for Mathematical Sciences, National University of Singapore, from July to December 2003 and in August 2004 to promote multidisciplinary research on the mathematics in imaging science and information processing. In particular, the program emphasized on numerical methods in image and information processing, wavelet theory and its applications in image and signal processing, and time-frequency analysis and applications. Under the program, three conferences, six workshops, eleven tutorials and three public lectures were organized. A total of more than 340 participants took part in these activities including over 130 international attendees. We thank the Institute for Mathematical Sciences for its generous funding and efficient administrative support, without which the smooth implementation of the program would not be possible. We would also like to express our sincere appreciation to the authors for their contributions towards this volume.