Deconvolution Of Images And Spectra Pdf

Deconvolution of Images and Spectra

Deconvolution is a technique in signal or image processing that is applied when data is difficult to read due to spreading and blurring of corrupt images and experimental results. Through deconvolution, the investigator can gain access to the true and uncorrupted phenomenon. Advantages include reduced noise sensitivity and super resolving capabilities that have lead to important advances such as the explosive development of computer-based communications, neural networks, the discovery of the nucleus of Halley's comet and new insights into cell biology. This second edition addresses both the newest computer hardware applications and the implementation of modern non-linear constrained methods. The text conveys an understanding of the field while providing a selection of effective, practical techniques. The authors assume only a working knowledge of calculus, and emphasizing practical applications over topics of theoretical interest, focusing on areas that have been pivotal to the evolution of the most effective methods.

The Restoration of HST Images and Spectra

Blind Image Deconvolution

Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.