混沌时间序列的一种局域离散余弦变换域Volterra预测

提出了一种局域离散余弦变换（DCT）域Volterra预测，并用于混沌时间序列预测。DCT被用来减少Volterra预测器的矩阵计算复杂性。数值仿真结果表明：本文提出的方法比传统的局域线性预测方法能更有效地预测混沌时间序列和预测精度。     

基于分块DCT变换编码的小波域多幅图像融合算法

提出了一种利用DCT变换和小波变换的特征层图像融合算法.其基本思想是先对多幅源图像进行分块DCT变换,选取较大方差对应的变换系数,将图像压缩为原图像大小的1/4,保留系数的对应坐标作为提取信息时的密钥;其次将经处理后的DCT系数直接作为小波变换的分解系数,经小波逆变换后得到融合信息.实验结果表明,该算法实现了多幅不同大小图像的融合,同时单一密钥只能提取单一图像. 关键词： 图像融合 小波变换 离散余弦变换 编码     

Supercharacters and the discrete Fourier,cosine, and sine transforms

Using supercharacter theory, we identify the matrices that are diagonalized by the discrete cosine and discrete sine transforms, respectively. Our method affords a combinatorial interpretation for the matrix entries.     

A novel scanning pattern for entropy coding under non-square quadtree transform (NSQT)

High-efficiency video coding (HEVC) introduces a non-square quadtree transform (NSQT), which has brought about higher coding efficiency than square quadtree transform. However, the scanning pattern does not fit the energy distribution of the quantization coefficients well enough, which would worsen the entropy coding efficiency. In order to fit the energy distribution better, a novel scanning pattern is proposed in this paper. The spatial frequency position distribution of the non-square transformed block is derived. Based on the distribution, the energy distribution of the non-square transformed bock is analyzed in theory and tested in experiment. It is found that the energy decreases from upper left corner to lower right corner and the energy in lower left corner is close to that in upper right corner. Based on this energy distribution, the scanning pattern for the quantization coefficients in the non-square matrix is rebuilt to fit the entropy coding, which prefers a scanning pattern in ascending order in the frequency domain. Simulation results show that the proposed scanning pattern achieves on average 2.1% BD-rate saving and 9.05–13.19% bitrates saving for the non-square transformed blocks with negligible loss in coding computational complexity and peak signal-to-noise ratio (PSNR), compared to the present scanning pattern in NSQT.     

Optimization of image quality for decoded images using three-dimensional smoothing method

Joint Photographic Experts Group (JPEG) baseline algorithm is widely used because of its high compression capability. The algorithm has a characteristic that the degradation of image quality tends to be perceived as the compression ratio becomes high. The eyesore degradations are false contour and mosquito. A method of improving the image quality is proposed. The first step: a domain of false contours is extracted from the image and the second step: the domain is smoothed by a fitting process. It is confirmed that this method is effective in improving the image quality degraded by the JPEG high compression.     

基于视觉掩蔽特性的数字水印技术

提出了一种在DCT域中绘图像加水印的方法，该方法合理综合了几种数字水印技术，利用DCT域的视觉掩蔽特性，在图像的不同部分嵌入不同强度的经过伪随机扩展编码后的水印，且提取水印时无需原因图像，结果表明，在保证水印不可视的前提下，该方法提高了水印的鲁棒性，并对JPEG压缩，中值滤波等攻具有很好的抵抗能力。     

基于非线性预处理的SAR图像浮点数据压缩

提出了一种基于非线性预处理和DCT的SAR图像浮点数据压缩方法，通过对预处理前后DCT系数的熵和恢复图像信噪比的分析，确定符合SAR数据特征的预处理方法，再应用区域编码对其进行定值压缩。实验表明该方法可取得非常明显的效果。     

N-[Chloro(dimethylamino)methylene]-N-methylmethanaminium chloride (TMUCl Cl), the reagent of choice for the solid-phase synthesis of anilides

An effective solid-phase preparation of anilides from supported carboxylic acids is described by their activation as the corresponding acid chlorides with TMUCl Cl.     

Gaussian DCT Coefficient Models

It has been known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplace distribution. However, recent work has shown that the Laplace distribution may not be a good fit for certain type of images and that the Gaussian distribution will be a realistic model in such cases. Assuming this alternative model, we derive a comprehensive collection of formulas for the distribution of the actual DCT coefficient. The corresponding estimation procedures are derived by the method of moments and the method of maximum likelihood. Finally, the superior performance of the derived distributions over the Gaussian model is illustrated. It is expected that this work could serve as a useful reference and lead to improved modeling with respect to image analysis and image coding.