ID 原文 译文
22165 针对目前夜间图像去雾后存在光源光晕问题，提出根据图像色度估计场景点属于近光源区域的程度，使算法能自适应地处理光源区域和非光源区域； Secondly, to solve the problem of halo effects around artificial light sources in existing dehazing methods, a method that estimates the distance between the object of the scene and the artificial light sources based on the image chromaticity is proposed. In this way, the scene objects near to the light source region and objects far away from the light source region can be processed respectively.
22166 针对非一致色偏问题，利用直方图匹配方法进行颜色校正。 Finally, as for the color cast, an efficient color correction algorithm based on the histogram matching is presented in this paper.
22167 对大量图像进行实验，并与现有白天、夜晚图像去雾算法进行比较，验证了该文提出的夜间雾天图像成像模型及去雾算法的有效性。 Comparing with existing daytime and nighttime dehazing methods, the experimental results of a number of examples demonstrate the effectiveness of the proposed night-time haze model and the dehazing method.
22168 人工噪声辅助的物理层安全通信系统采用人工噪声破坏窃听信道的方式提升系统安全信道容量是近年来物理层安全通信领域研究的经典系统模型之一。 The research of improving the Secrecy Capacity (SC) of wireless communication system using Artificial Noise (AN) is one of the classics models in the field of physical layer security communication.
22169 该文针对这一模型中发射信号存在高峰均功率比问题，利用噪声子空间提供的冗余度提出一种基于噪声子空间功率分配的峰均功率比降低算法。 Considering the Peak-to-Average Power Ratio (PAPR) problem of transmit signal, a power allocation of AN subspaces algorithm is proposed to reduce the PAPR of transmit signal based on convex optimization.
22170 该算法通过分式规划、DC 规划以及二次非凸等式约束松弛将非凸的峰均功率比优化问题转化为一系列的凸问题迭代求解。 This algorithm utilizes a series of convex optimization problems to approach the nonconvex PAPR optimization problem based on fractional programming, Difference of Convex (DC) functions programming and nonconvex quadratic equality constraint transformation.
22171 仿真结果表明在系统放大器存在一定线性范围的约束下，该文提出的算法能够有效降低人工噪声辅助的物理层安全通信系统发射信号的峰均功率比问题，达到提高系统中合法用户的通信性能的目的。 Simulation results show that the proposed algorithm reduce the PAPR value of transmit signal to improve the communication performance of legitimate user compared with benchmark problems.
22172 针对局部二值模式(LBP)、中心对称局部二值模式(CS-LBP)和梯度方向直方图(HOG)的不足进行改进，该文提出中心对称局部平滑二值模式(CS-LSBP)和绝对梯度方向直方图(HOAG)，并提出一种融合局部纹理特征和局部形状特征的人脸表情识别方法。 In order to improve the inadequacies of Local Binary Pattern (LBP), Center-Symmetric Local Binary Pattern (CS-LBP) and Histogram of Oriented Gradient (HOG) algorithm, Center-Symmetric Local Smooth Binary Pattern (CS-LSBP) and Histogram of Oriented Absolute Gradient (HOAG) are proposed, and a facial expression recognition method based on local texture and local shape features is proposed in this paper.
22173 该方法首先采用 CS-LSBP 算子和 HOAG 算子分别提取人脸表情图像的局部纹理特征和局部形状特征，然后使用典型线性分析法(CCA)进行特征融合，最后利用支持向量机(SVM)进行表情分类。 Firstly, CS-LSBP and HOAG are used to extract two local features of expression image of the face. Then, Canonical Correlation Analysis (CCA) is used to fuse two local features. Finally, Support Vector Machine (SVM) is performed for the expression classification.
22174 在 JAFFE 人脸表情库和 Cohn-Kanade(CK)人脸表情库上的实验结果表明，改进的特征提取方法能更加完整、精确地提取图像的细节信息，基于 CCA 的特征融合方法能充分发挥特征的表征能力，该文所提人脸表情识别方法取得了较好的分类识别效果。 Experimental results on JAFFE and Cohn-Kanade (CK) facial expression databases show that, the improved feature extraction method can extract the detail information of the image more completely and accurately. And the fusion method based on CCA can give full play to the representation ability of each feature. The facial expression recognition method proposed in this paper obtains a better recognition effect.