Bayer格式图像的实时彩色复原

为了减少算法的计算量,保证系统的实时性,本文针对Bayer格式图像提出了一种有效的彩色复原插值算法。插值过程中利用了人眼的视觉特性,能够更精确地得到图像的亮度信息和边缘信息。利用彩色图像的边缘特性更精确地复原了边缘处的R、G、B值。算法最终解为一系列5×5大小稀疏的线性滤波器,其复杂度低,实现简单,能在计算机各种嵌入式处理器中完成实时处理。实验证明,本算法的峰值信噪比(PSNR)比通常采用的双线性算法高4~6 db,且有效地减少了插值算法中出现的锯齿现象,使图像彩色的复原性和实时性比双线性算法更优越,具有一定的应用价值。     

多晶铝在单向拉伸实验中的晶粒变形测量

多晶铝试件在单向拉伸实验中,试件表面的应变分布并不均匀.采用扫描电子显微镜观察试件在拉伸过程中的晶粒形貌变化,并在加载过程中跟踪晶粒拍摄了一系列照片,通过数字散斑技术,对所拍照片进行分析,得到了高精度的晶粒名义应力-应变关系曲线.     

Design of dispersive multilayer with particle swarm optimization method

<正>We present a new and efficient method for the design of dispersive multilayer by employing a particle swarm optimization(PSO) technique.Its mathematical background is given and an adaptive PSO is realized with computer code.Two practical designing tasks are solved with this method,and the obtained results are competitive compared with other published structures.The adaptive PSO method demonstrates its merits of fast convergence and powerful global search ability,and could be used as a valuable tool for the optical thin film design.     

一种改进的SUSAN角点提取方法

针对基本SUSAN算法存在漏检测、处理速度慢以及容易产生伪角点等问题,提出了一种改进的SUSAN角点提取算法。首先对图像的像素点按边缘点、内部点和背景点进行分类,在此基础上只对边缘点进行SUSAN算法处理,然后检查已经提取到的所有角点,剔除同一区域范围内的伪角点,从而实现对大部分角点的快速、准确提取。实验结果表明,该算法的运算速度比改进前提高约一倍,能够较准确地检测到目标角点。     

一种易于硬件实现的图像有损压缩算法

原始图像数据经过小波变换后,根据子带系数之间在空间上和方向上所呈现出的带间相似性,将像素集合重新定义为集合树。通过对直流系数量化编码和交流系数比特深度编码中的参数K和熵编码中长度分别为3bit码字（choicel）和4bit码字（choice2）的编码方式的选择实现数据的渐进性编码,使产生的码流具有内嵌特性,可以对任意码流进行截取和译码,实现对码率的有效控制。提出了一种具有复杂度低、易于硬件实现的图像有损压缩算法。经过系统仿真证明此算法有利于提高重建图像的质量。     

解非线性方程组的一类算法

§1.引言 求解线性方程组 a_i~Tx=b_i,i=1,2,…,n,(1.1)其中a_1,a_2,…,a_n线性无关. 设y~((1))为初值,U~((1))为任意非奇异n阶矩阵,我们用如下方法求解方程组(1.1). 先考虑前k-1个方程组成的亚定方程组 a_i~Tx=b_i,i=1,2,…,k-1.设{U~((k))}={a_1,a_2,…,a_(k-1)},这里{U~((k))}表示由U~((k))的列组成的子空间.显然,rank(U~((k)))=n-b+1.若y~((k))是相应的亚定方程的一个特解,则将其看作方程组     

基于Goose LDW-PSO的管壳式换热器优化设计

管壳式换热器在工业中的应用越来越广泛,对于设计者和使用者来说使其费用最小化是一个很重要的目标。本文以最小化管壳式换热器的总费用为优化目标,提出了运用基于雁群启示的惯性权重线性下降粒子群优化算法(Goose LDW-PSO)对其进行优化设计。为了验证这种方法的有效性,用Goose LDW-PSO对管壳式换热器进行了优化设计,并与原始设计结果进行了比较。比较结果表明,虽然管子数目增加,但是换热器的总费用比传统方法少了很多。     

A hybrid scheme for geoacoustic inversion

A hybrid inversion scheme of geoacoustic parameters, which combines dispersion characteristics of normal modes with transmission loss, has been proposed based on the facts that different parameters have different effects on sound field. First, considering the dispersion characteristics of normal modes were sensitive to the density and the sound speed of seabottom, and not sensitive to the seabottom attenuation coefficient, the group time delays of different modes and different frequencies were acquired through adaptive optimal kernel time-frequency representation, then the group time delays were taken as the cost function, and using a global optimal algorithm, the seabottom density and the profile of seabottom sound speed were deduced. Successively, the validity of inversion results was evaluated by the a posteriori probability. Last, the attenuation coefficient of sediment is inverted using the transmission loss data recorded from the ship radiation noise. The validity of the total inversion results has been evaluated by making use of the matched field processing source localization.     

Potential-Decomposition Strategy in Markov Chain Monte Carlo Sampling Algorithms

We introduce the potential-decomposition strategy （PDS）, which can be used in Markov chain Monte Carlo sampling algorithms. PDS can be designed to make particles move in a modified potential that favors diffusion in phase space, then, by rejecting some trial samples, the target distributions can be sampled in an unbiased manner. Furthermore, if the accepted trial samples are insumcient, they can be recycled as initial states to form more unbiased samples. This strategy can greatly improve efficiency when the original potential has multiple metastable states separated by large barriers. We apply PDS to the 2d Ising model and a double-well potential model with a large barrier, demonstrating in these two representative examples that convergence is accelerated by orders of magnitude.