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tr.v. quan·tized, quan·tiz·ing, quan·tiz·es Physics
1. To limit the possible values of (a magnitude or quantity) to a discrete set of values by quantum mechanical rules.
2. To apply quantum mechanics or the quantum theory to.

quan′ti·za′tion (-tĭ-zā′shən) n.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.quantization - the act of dividing into quanta or expressing in terms of quantum theory
division - the act or process of dividing
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References in periodicals archive ?
Inverse quantization of the extracted watermark is by matrix Q = {Q(a, b)} from the key in embedding process.
However, the successive mean quantization transform perform an automatic structural breakdown of information and these characteristic make the transform interesting for automatic enhancement of any images [9].
One of the most important techniques proposed is Quantization Index Modulation (QIM) [12], where watermark embedding is obtained by quantizing the host or input signal with a quantizer level chosen among a full set of quantizers that are each associated with a different message.
Quantized(x) is quantized effect drawing, q is quantization level, [DELTA]q controls the width of quantization range, [q.sub.nearsst] is the edge information that is the nearest to f([??]) and [phi] is the parameter that controls the transition sharp degree between two quantization range.
The topics include a constructive approach to higher homotopy operations, the right adjoint to the equivalent operadic forgetful functor on incomplete Tambara functions, the centralizer resolution of the K(2)-local sphere at the prime 2, the quantization of the modular function and equivariant elliptic cohomology, complex orientations for THH of some perfectoid fields, and the Mahowald square and Adams differentials.,The proceedings of a July 2017 conference on homotopy theory held in Urbana, Illinois contains 11 selected papers.
apply quantization to select N colors / select reference points solve linear programming problem using reference points apply interpolation using transformed reference points The linear problem that is to be solved in this method is the minimization of the percomponent error (between the ideal color values and the real values), with the goal of maintaining relative contrast differences between colors, by employing constrained multidimensional scaling technique.
higher Signal to Quantization Noise Ratio (SQNR), than a quantizer with Laplacian PDF.
As DHT is used, another efficient quantization approach and scanning order (in lieu of zigzag scanning order used in JPEG) is proposed in [10].