quantization step meaning in Chinese
分层隔距
量子化步
Examples
- A robust image blind watermarking algorithm based on adaptive quantization step in dwt
域自适应量化步长的图像盲水印算法 - The algorithm is based on the optimum quantization step for each dwt coefficient according to psychovisual considerations which derived from methods in image compression
本文的算法基于图像压缩算法中利用心理视觉给出的dwt系数的最优量化步骤。 - 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
本论文可以分成四部分：第一部分给出了信源编码的基本概念和理论分析，重点放在最优均匀量化编码的研究方面；第二部分给出了信道?信源联合编码的原理叙述，重点放在复合式信道?信源编码的分析研究上；第三部分将信道-信源联合编码原理应用在两种噪声信道上：离散无记忆信道和cdma信道，并根据两种信道的不同特点详细描述了两种相应的编码设计方案；第四部分给出了复合式信道-信源编码的仿真结果以及对结果的相应分析。 - 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
该策略利用人眼对图像低频分量比对高频分量敏感的特性，先对图像进行预处理，去掉部分高频分量，并在量化时引入视觉特性因子以加大图像复杂区的量化而减小图像平坦区的量化。