In this dissertation, the integer transform, quantization, and deblocking filter are expatiated.
本论文着重对整数变换与量化、去方块滤波做了研究。
Then analyses the complexity of AVS decoder and finds out the the critical modules are motion compensation, integer transform, quantization and loop filter.
然后对解码器进行复杂度分析，找出解码耗时的关键部分分别为运动补偿、反变换、环路滤波等模块。
The watermarking information that is stochastically permuted and coded by LDPC is embedded in the modified DC components which are attained by integer transform twice.
水印信息经随机置换与LDPC编码，对经过二次整数变换之后的直流分量进行修改实现水印的嵌入。
For bit rate video application, a rational profile is selected according to analysis of main encoder tools. Fast motion search method and integer transform are implemented by using SIMD technique.
针对低码率应用，分析各编码工具的性能并选取合理编码框架，同时利用单指令多数据(SIMD)技术并行实现快速搜索及整数变换。
The quantization step is the actual information-losing step where compression occurs; the output values of transform are rounded, mostly to zero, leaving only a few integer coefficients.
量化步骤会进行实际的压缩动作，部分信息会丢失。转换步骤的输出值经过取整，大部分是零，只留下几个整数系数。
Anew approach, named Modified Fast Fourier Transform (MFFT), is proposed to analyze the components of a periodic signal when sampling duration is not equal to an integer multiple of the fundamentals.
提出了一种改进的快速付立叶变换(MFFT)的计算方法，在采样的持续时间不是信号周期整数倍的条件下，能够准确地提供此信号中各周期分量的特性。
The method of sparsely row-indexed storage has been used to compress large volumes of image data, on the base of integer wavelet transform constructed by lift scheme.
基于提升方法构造的整数小波变换，采用行索引稀疏存储方案，可以对海量影像数据进行高保真的压缩。
In order to realize lossless covert communication in image, a novel lossless covert communication method based on integer linear transform was proposed.
为了对图像进行无损隐秘传输，给出了一种新的基于整数线性变换处理的无损隐秘传输方法。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
首先探讨了基于提升方案的整数小波变换，结合线性预测技术，提出了一种机载多光谱遥感图像的无损压缩方法。
Then we made some more deep research on the intra-prediction and integer DCT transform technologies of the H. 264 standard.
264标准的帧内预测和DCT整数变换技术进行了较深入地探讨。
This algorithm based on integer wavelet transform and set partitioning in hierarchical trees for controlling data's compression ratio and reconstruction difference expediently.
针对这一情况，提出了一种基于整数小波变换和多级树集合分割编码压缩新算法。
Combined with FSVQ algorithm, the traditional DCT transform and integer DCT transform are used to improve the performance of image compression.
对经典DCT变换和整数DCT变换进行研究，并把它们和有限状态矢量量化编码算法相结合，提高了对图像的压缩性能。
Integer to integer wavelet transform has a simple structure, needs no more storage space and is very easy to be implemented, which is suitable for image compression.
整数提升小波变换结构简单，不需要额外的存储空间，易于实现，在图像压缩中具有很好的应用价值。
Arbitrary shape region of interest lossily and losslessly coding technology based on integer-to-integer shape adaptive discrete wavelet transform has also been studied.
研究了基于整数到整数形状自适应离散小波变换对任意形状感兴趣区域的有损和无损编码技术。
In the process of compressing the ROI, to decrease the complexity of computation and ensure the quality of the image, integer wavelets transform and arithmetic algorithm are used.
对感兴趣区域(ROI)进行无损压缩编码过程中，采用整数小波变换然后进行算术编码的方案降低运算复杂度、保证图像质量。
The paper introduced the method to realize the image compression based on Integer Lapped Biorthogonal Transform(LBT) and the theory of coding as well as its hardware design.
介绍基于双正交整数叠式变换（LBT）的图像压缩及编码方法的原理，以及该系统的硬件设计。
The paper introduced the method to realize the image compression based on Integer Lapped Biorthogonal Transform(LBT) and the theory of coding as well as its hardware design.
介绍基于双正交整数叠式变换（LBT）的图像压缩及编码方法的原理，以及该系统的硬件设计。
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