Multidimensional signal and color image processing using Lattices (Record no. 560438)
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000 -LEADER | |
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fixed length control field | 02425 a2200193 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781119111740 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | IIT Kanpur |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 621.382 |
Item number | D852m |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Dubois, Eric |
245 ## - TITLE STATEMENT | |
Title | Multidimensional signal and color image processing using Lattices |
Statement of responsibility, etc | Eric Dubois |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher | John Wiley |
Year of publication | 2019 |
Place of publication | New Jersey |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xiii, 333p |
520 ## - SUMMARY, ETC. | |
Summary, etc | In this volume, Eric Dubois further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the reader to crucial concepts in signal processing such as continuous- and discrete-domain signals and systems, discrete-domain periodic signals, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized representations for non-rectangular sampling, this approach obscures much of the geometrical and scale information of the signal. In contrast, Dr. Dubois uses actual units of space-time and frequency. Basis-independent representations appear as much as possible, and the basis is introduced where needed to perform calculations or implementations. Thus, lattice theory is developed from the beginning and rectangular sampling is treated as a special case. This is especially significant in the treatment of color and color image processing and for discrete transform representations based on symmetry groups, including fast computational algorithms. Other features include: An entire chapter on lattices, giving the reader a thorough grounding in the use of lattices in signal processing Extensive treatment of lattices as used to describe discrete-domain signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and multidimensional Fourier transformation properties Supplemented throughout with MATLAB examples and accompanying downloadable source code Graduate and doctoral students as well as senior undergraduates and professionals working in signal processing or video/image processing and imaging will appreciate this fresh approach to multidimensional signals and systems theory, both as a thorough introduction to the subject and as inspiration for future research. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Signal processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Lattice theory |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Image processing -- Mathematics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
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General Stacks | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 2019-07-04 | 2 | 7208.24 | 621.382 D852m | A184497 | 9010.30 | Books |