ID	原文	译文
1403	基于真实数据库上实验结果表明，PrivTSM 方法的准确率 TPR(True Postive Rate)和平均相对误差 ARE(Average RelativeError)明显优于 N-gram 和 Prefix-Hybrid 方法。	The experimental results on real datasets show that the accuracy (TPR)and average relative error (ARE)of the PrivTSM are better than those of the N-gram and Prefix-Hybrid algorithms.
1404	针对低照度图像存在的对比度低、视觉效果差等问题，提出一种基于卷积分析稀疏表示和相位一致性的低照度图像增强方法。	Low-light images suffer from low visibility and poor visual quality. To improve the quality of low-light im-ages, a method based on convolution analysis sparse representation and phase congruency was proposed.
1405	该方法基于 Retinex 模型，在估计照度图像时采用卷积分析稀疏表示进行约束，所用滤波器一部分人工设定，一部分由样本训练自动获得;	This method is based on the Retinex model and improves the problem of insufficient constraints. More concretely, we used the convolutional analysis sparse representation whose filters were hand-crafted and learned from the input to estimate the illumination image.
1406	在计算反射图像时利用单演相位一致性特征，施加相位一致性残余最小约束来恢复细节;	Then, by using the monogenic phase congruency, the reflection image was calculated via the phase congruency residual mini-mization to enhance weak details.
1407	通过联合约束并进行优化，得到的反射图像即为最终的增强结果。	Through joint constraints and optimization, the resulting reflection image served as the finalenhancement result.
1408	对大量低照度图像进行实验，并与当前先进方法相比，结果表明，本文方法不仅提高了图像的亮度与对比度，增强了细节，而且在多个客观评价指标上都优于其他方法。	Experiments on a number of challenging low-light images are presented to reveal the efficacy of ourmethod and show its superiority over several state-of-the-arts on both subjective and objective assessments.
1409	密文域可逆信息隐藏技术在医学、云服务、军事、商业等众多领域有着广泛应用，	Reversible steganography in encrypted domain is widely used in medical, cloud services, military, commer-cial and other fields.
1410	针对现有密文域信息隐藏算法的可逆性不能完全保证、嵌入率低、不能完全分离等不足，提出一种完全可逆可分离密文域信息隐藏算法，	Aiming at the problems of encrypted domain information hiding algorithm, such as incomplete guaranteeof reversibility, low embedding rate and incomplete separation, this paper proposed a separable and reversible steganographyin encrypted domain.
1411	首先，给出了适合图像加密遍历矩阵所需满足的条件和构造方法，	Firstly, the conditions and construction methods for the ergodic matrix of image encryption are given.
1412	载体图像拥有者设置密钥 1 构造遍历矩阵，并对明文图像进行加密，然后将加密图像传送给信息嵌入者，信息嵌入者设置密钥 2，以期望插值为目标，根据插值区间大小确定嵌入位数，再由差值修正因子和秘密信息共同确定最终插值，使最终插值最大限度接近期望插值，确保载密图像高质量，	The carrier image owner sets the key1 to construct the ergodic matrix and encrypts the plaintext image, the information em-bedder sets the key2, in order to achieve the goal of expectation interpolation, the number of embedding bits is determinedaccording to the size of interpolation interval, and then the final interpolation is determined by the difference correction factorand secret information together, so that the final interpolation is close to the expectation interpolation to the maximum ex-tent, ensuring the high quality of the encrypted image.