Deconvolution of images and spectra
著者
書誌事項
Deconvolution of images and spectra
Academic Press, c1997
2nd ed
大学図書館所蔵 件 / 全14件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Rev. ed. of: Deconvolution, 1984
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- Convolution and related concepts, P.A. Jansson
- distortion of optical spectra, P.A. Jansson
- traditional linear deconvolution methods, P.A. Jansson
- modern constrained nonlinear methods, P.A. Jansson
- convergence of relaxation algorithms, P.C. Crilly
- instrumental considerations, W.E. Blass and G.W. Halsey
- deconvolution examples, P.C. Crilly, W.E. Blass and G.W. Halsey
- application to electron spectroscopy for chemical analysis, P.A. Jansson and R.D. Davies
- decon-volution in optical microscopy, J.R. Swedlow, J.W. Sedat, and D.A. Agard
- deconvolution of HST images and spectra, R.J. Hanisch, R.L. White, and R.L. Gilliland
- maximum likelihood estimates of spectra, B.R. Frieden
- fourier spectrum continuation, S.J. Howard
- minimum negativity fourier spectrum continuation, S.J. Howard
- alternating projection onto convex sets, R.J. Marks, II.
「Nielsen BookData」 より