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quantization problem - traduction vers russe
COMPRESSION TECHNIQUE INVOLVED IN IMAGE PROCESSING
Quantization matrix; Quantization matrices; Image quantization; Quantisation matrix; Quantisation matrices
quantization problem
проблема квантизации
vector quantization
SIGNAL PROCESSING TECHNIQUE
Vector Quantization; Vector quantisation; Applications of vector quantization
векторное квантование
knapsack problem
![multiple constrained problem]] could consider both the weight and volume of the boxes. <br />(Solution: if any number of each box is available, then three yellow boxes and three grey boxes; if only the shown boxes are available, then all except for the green box.)](https://commons.wikimedia.org/wiki/Special:FilePath/Knapsack.svg?width=200 "multiple constrained problem]] could consider both the weight and volume of the boxes. <br />(Solution: if any number of each box is available, then three yellow boxes and three grey boxes; if only the shown boxes are available, then all except for the green box.)")
PROBLEM IN COMBINATORIAL OPTIMIZATION
0/1 knapsack problem; 0-1 knapsack problem; Unbounded knapsack problem; Unbounded Knapsack Problem; Binary knapsack problem; Napsack problem; Backpack problem; 0-1 Knapsack problem; Integer knapsack problem; Knapsack Problem; Algorithms for solving knapsack problems; Methods for solving knapsack problems; Approximation algorithms for the knapsack problem; Bounded knapsack problem; Multiple knapsack problem; Rucksack problem; Computational complexity of the knapsack problem
математика
задача о ранце
Définition
0/1 knapsack problem
<application> The knapsack problem restricted so that the
number of each item is zero or one.
(1995-03-13)
Wikipédia
Quantization (image processing)
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. For example, reducing the number of colors required to represent a digital image makes it possible to reduce its file size. Specific applications include DCT data quantization in JPEG and DWT data quantization in JPEG 2000.
