The watermark was embedded in the wavelet domain using the mean quantization method. This method can be used to detect the distortion both in spatial and frequency domain. 这种算法是采用了均值量化的方法,把数字水印嵌入图像的离散小波域,可以检测在空间域和频率域的图像失真。
Multiplication-free vector quantization with L_1 distortion measure and the method derived from it 使用L1失真测度及其派生方法的无乘法矢量量化
This control scheme proposes a visual quantization matrix to weight the discrete cosine transform ( DCT) coefficients in order to reduce the coding distortion on the visual perceptibility. 该控制策略采用一个视觉量化矩阵对DCT系数进行加权处理,以减少DCT系数在视觉特性上的编码失真。
The traditional training algorithm for vector quantization such as the LBG algorithm uses the convergence of distortion sequence as the condition of the end of algorithm. 以LBG算法为代表的传统码书训练算法基本上都用量化失真序列收敛作算法停止条件。
The effect of quantization distortion of the differential gain ( DG) and differential phase ( DP) in digital color TV systems is analysed. Two cases are taken into account. 本文分析了数字彩色电视系统中量化失真对微分增益(DG)和微分相位(DP)的影响。
Vector Quantization Based on Wavelet-Transform and Distortion Competitive Learning 基于小波变换和误差竞争学习的矢量量化
The Effect of Quantization Distortion on the Differential Gain and Differential Phase in Digital TV Systems 数字电视系统中量化失真对微分增益和微分相位的影响
A codebook designing algorithm of vector quantization based on modified self-organizing feature maps ( SOFM) was proposed. Distortion sensitive was inducted into competitive learning of neural network. 根据等失真(Equidistortion)理论提出了一种基于改进的自组织特征映射(SOFM)神经网络的矢量量化方法,该算法将失真敏感机制引入神经网络的竞争学习过程。
On the basis of a systematic analysis of the quantization noises and the reconstruction noises of the sub images, an optimal bit allocation scheme is presented, which minimizes the system reconstruction distortion at a given bit rate. 在系统地分析了小波变换各子图象的量化噪声和恢复噪声的基础上,提出了在给定的比特率下,使系统恢复失真达到最小的优化比特分配方案。
Therefore, the results verify that the DCT-S algorithm can smooth the evolution of the spectral envelope parameters and efficiently reduce the spectral quantization distortion. 实验结果表明,DCT-S算法使谱包络参数的变化轨迹得到了平滑,有效地降低了谱失真。
Methods of reducing measuring error caused by quantization distortion are discussed. 最后讨论了减小量化失真引起测量误差的措施。
This article puts forward an improved LBG algorithm on the basis of the asymptotically optimal vector quantization theory~ [ 4]. To obtain a quantizer with higher quality, the algorithm uses the method of codewords shifting which can ulteriorly diminish the average distortion. 根据渐进最优矢量量化理论[4]的思想提出了一种改进型LBG算法,它采用码字转移的方法使各个类的畸变趋于平衡,从而近一步减小平均畸变以获得性能更优的量化器。
A fast encoding algorithm for vector quantization based on DCT subspace distortion measure 基于DCT子空间失真测度的快速矢量编码算法
Practical experiment results indicate that seismic data compression considering the distribution characteristics of their wavelet coefficients and using zero tree quantization coding satisfies the engineering demands of improved compression ratio with minimal distortion. 从实际处理结果可见,根据数据小波系数分布特点及结合零树量化编码对地震数据压缩可以满足限失真提高压缩比的工程要求。
In multimedia signal processing, quantization error is a function of input signal and it results in the audible distortion and noise modulation in the audio signals. 在多媒体信号处理中,由于量化误差是输入信号的函数,使得语音信号产生信号失真和噪声调制。
The Correction of the Influence of Quantization Error to the Evaluation of the Distortion of Periodic Signal 量化误差对周期信号总失真度评价的影响及修正
Vector Quantization is regarded as a hopeful method because high compression ratio and small distortion. 由于向量量化(Vectorquantization,简称VQ)的压缩比高、失真小,因此它被认为是很有希望的编码方法。
Second, the thesis studied the trellis coded quantization that uses rate control algorithm based on rate distortion and Lagrange algorithm. 然后,对网格编码量化中的码率控制算法进行了深入研究。
An image coding algorithm based on the classified side-match vector quantization in DCT domain is presented. Correlative predictions between neighboring image blocks are made in the algorithm. The match distortion between input image blocks and the code vectors is also considered. 本文提出了一种基于DCT分类的边缘匹配矢量量化算法,充分考虑了当前处理图像块与其相邻图像块之间的相关性以及各码字与该输入矢量之间的边缘匹配失真。
By comparing the increased quantization distortion and reduced propagation distortion of one frame approximately, the encoder can quickly determine whether it is necessary to INTRA-update a MB. 编码器通过直接计算出编码一帧图像可以得到的最小量化失真度,评估MB帧内更新所增加的总量化失真度和减小的扩散失真度,决定是否需要对此MB进行帧内更新。
Experimental results reveal that the algorithms optimized for speed can reduce the computation complexity efficiently and keep approximate rate distortion performance, while the new transform and quantization method can improve rate distortion performance. 实验结果表明,速度优化算法在保持相近率失真性能的同时,能够有效降低编码的计算复杂度;新的整数变换及其量化方法能够提高编码的率失真性能。