Synopses & Reviews
Deconvolution is a technique in signal or image processing that is applied to recover information. When it is employed, it is usually because instrumental effects of spreading and blurring have obscured that information. In 1996,
Deconvolution of Images and Spectra was published (Academic Press) as a second edition of Jansson's 1984 book,
Deconvolution with Applications in Spectroscopy. This landmark volume was first published to provide both an overview of the field, and practical methods and results.
The present Dover edition is a corrected reprinting of the second edition. It incorporates all the advantages of its predecessors by conveying a clear understanding of the field while providing a selection of effective, practical techniques. The authors assume only a working knowledge of calculus, and emphasize practical applications over topics of theoretical interest, focusing on areas that have been pivotal to the evolution of the most effective methods. This tutorial is essentially self-contained. Readers will find it practical and easy to understand.
Synopsis
A technique of signal and image processing, deconvolution is applied when data is difficult to read because of corrupt images and experimental results. This text conveys a clear understanding of the field and provides a selection of effective, practical techniques.
Synopsis
This text conveys a clear understanding of the field, assuming only a working knowledge of calculus. Self-contained chapters emphasize applications rather than theory. 1997 edition.
Synopsis
This text conveys a clear understanding of the field, assuming only a working knowledge of calculus. Self-contained chapters emphasize applications rather than theory. 1997 edition.
Table of Contents
ContributorsPreface1. Convolution and Related Concepts (Peter A. Jansson)2. Distortion of Optical Spectra (Peter A. Jansson)3. Traditional Linear Deconvolution Methods (Peter A. Jansson)4. Modern Constrained Nonlinear Methods (Peter A. Jansson)5. Convergence of Relaxation Algorithms (Paul Benjamin Crilly)6. Instrumental Considerations (William E. Blass and George W. Halsey)7. Deconvolution Examples (Paul Benjamin Crilly, William E. Blass, and George W. Halsey)8. Application to Electron Spectroscopy for Chemical Analysis (Robert D. Davies and Peter A. Jansson)9. Deconvolution in Optical Microscopy (Jason R. Swedlow, John W. Sedat, and David A. Agard)10. Deconvolution of Hubble Space Telescope Images and Spectra (Robert J. Hanisch, Richard L. White, and Ronald L. Gilliland)11. Maximum Probable Estimates of Spectra (B. Roy Frieden)12. Fourier Spectrum Continuation (Samuel J. Howard)13. Minimum-Negativity-Constrained Fourier Spectrum Continuation (Samuel J. Howard)14. Alternating Projections onto Convex Sets (Robert J. Marks II)Index