Implementation And Convergence Criterion Of A New Iterative Algorithm For Nonuniform Image Motion Estimation In The Presence Of Noise

Masters Theses in the Pure and Applied Sciences

Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 39 (thesis year 1994) a total of 13,953 thesis titles from 21 Canadian and 159 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 39 reports theses submitted in 1994, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.

Implementation and Convergence Criterion of a New Iterative Algorithm for Nonuniform Image Motion Estimation in the Presence of Noise

New Algorithms for Variable Time Delay and Nonuniform Image Motion Estimation

This text introduces and investigates estimation algorithms for signal registration. Signal registration can be defined as the problem of estimating a varying displacement between two random processes. This problem has great importance in many applications, perhaps the most familiar of which lies in the field of passive sonar. The bearing of the signal source is related to the time delay (displacement) between two random waveforms. In the general signal registration problem, the time delay is itself a random function of time. Part one of this book is devoted to the problem of variable time delay estimation. Another application of the signal registration lies in image processing where registration is called motion estimation. By determining the relative displacement (motion) between the intensities of consecutive image frames, one can encode an image more efficiently. In this application, the displacement is a position-dependent vector process. Part two discusses the problem of nonuniform image motion estimation.