000			a
999			_c32479 _d32479
008			230803b xxu||||| |||| 00| 0 eng d
020			_a9781119111740
082			_a621.382201511332 _bDUB
100			_aDubois, Eric
245			_aMultidimensional signal and color image processing using lattices
260			_bWiley, _c2019 _aHoboken :
300			_axiii, 333 p. ; _bill., (some color), _c25 cm
365			_b142.95 _cUSD _d85.50
504			_aIncludes bibliographical references and index.
520			_aAn Innovative Approach to Multidimensional Signals and Systems Theory for Image and Video Processing 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 videomage 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			_aImage processing Mathematics
650			_aCIELAB
650			_aContinuous-Domain signals
650			_aCoset representatives
650			_aDensity matrix
650			_aDiscrete Domain signals
650			_aFIR filter
650			_a Frequency response
650			_aHexagonal lattice
650			_aInteger matrix
650			_aLinear system
650			_aLow-pass filter
650			_aLSI system
650			_aMultidimensional system
650			_a Random field
650			_aSmith normal form
650			_aSpectral density
650			_aSymmetry group
650			_aUnit cell
650			_aVector space
650			_aZone plate
650			_aMATLAB
942			_2ddc _cBK