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quantization step中文什么意思

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用"quantization step"造句

分層隔距
量子化步

step: vi. (-pp-) 1.走；跨步。 2.踩，踏上 (o ...
quantization: 分層量子化把連續量轉換為數字; 量化在每個象素處，將圖像的局部特性賦予一個灰度集合中的元素的過程。數字圖象處理技術詞匯表; 量化在每一個像素處，將圖像的局部特性賦予一個灰度集合中的元素的過程; 量化,分層,量子化; 量子化,量化(把連續量變為數字量),整量化; 量子化；數字化；分層; 量子化作用；分層; 取離散值
adaptive quantization: 自適應量化
amplitude quantization: 振幅量化
binary quantization: 二進制量化

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例句與用法

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A robust image blind watermarking algorithm based on adaptive quantization step in dwt
域自適應量化步長的圖像盲水印算法
The algorithm is based on the optimum quantization step for each dwt coefficient according to psychovisual considerations which derived from methods in image compression
本文的算法基于圖像壓縮算法中利用心理視覺給出的dwt系數的最優量化步驟。
This paper can put into four parts ? this first part is the description and theoretical analyses of source coding , which focus on the research of optimizing equal quantization ? the second part presents the theoretical description of joint channel - source coding , which focus on the research of combined channel - source coding o the third part is about the application of combined channel - source coding to two different channel models , binary symmetric channel and cdma channel o in this part , two different coding designs are given according to different characters of these two channels ? and the last part is the description of simulation of combined channel - source coding ? most of my work are about two parts , one is to find the most appropriate quantization steps and centroid points of separate channel - source coding , another is to simulate the combined channel - source coding ? comparing the simulation results of separate channel - source coding and combined channel - source coding , the characters of joint channel - source coding are given
本論文可以分成四部分：第一部分給出了信源編碼的基本概念和理論分析，重點放在最優均勻量化編碼的研究方面；第二部分給出了信道?信源聯合編碼的原理敘述，重點放在復合式信道?信源編碼的分析研究上；第三部分將信道-信源聯合編碼原理應用在兩種噪聲信道上：離散無記憶信道和cdma信道，并根據兩種信道的不同特點詳細描述了兩種相應的編碼設計方案；第四部分給出了復合式信道-信源編碼的仿真結果以及對結果的相應分析。
As human eyes are more sensitive to the low coefficients than to the high coefficients , a preprocessor is employed to remove part of the high coefficients and a visual property factor is introduced to increase the quantization step in complex regions while decreasing the quantization step in flat regions
該策略利用人眼對圖像低頻分量比對高頻分量敏感的特性，先對圖像進行預處理，去掉部分高頻分量，并在量化時引入視覺特性因子以加大圖像復雜區的量化而減小圖像平坦區的量化。