ID 原文 译文
20295 现有的很多算法都是基于局部结构相似设计的，但人对图像的主观感知是高级的、语义的过程，而语义信息本质上是非局部的，因此图像质量评价应该考虑图像的非局部信息。 Many existing algorithms are designed based on local structural similarity, but human subjective perception of images is a high-level, semantic process, and semantic information is essentially non-local, so image quality assessment should take the non-local information of the image into consideration.
20296 该文突破了经典的基于局部信息的算法框架，提出一种基于非局部信息的框架，并在此框架内构建了一种基于非局部梯度的图像质量评价算法， This paper breaks through the classical framework based on local information, and proposes a framework based on non-local information. Under the proposed framework, an image quality assessment algorithm based on non-local gradient is also presented.
20297 该算法通过度量参考图像与失真图像的非局部梯度之间的相似性来预测图像质量。 This algorithm predicts image quality by measuring the similarity between the non-local gradients of reference image and the distorted image.
20298 在公开测试数据库TID2008, LIVE, CSIQ上的数值实验结果表明，该算法能获得较好的评价效果。 The experimental results on the public test database TID2008, LIVE, and CSIQ show that the proposed algorithm can obtain better evaluation results.
20299 针对Jousselme证据距离函数不能较好描述证据局部冲突和不能对高冲突证据进行准确冲突度量的不足，该文首先提出改进的Jousselme证据距离函数， In the light of the disadvantages that Jousselme’s evidential distance function can not describe thelocal conflicting information of evidence well and can not measure the conflict of high conflicting evidence accurately, an improved Jousselme’s evidential distance function is proposed.
20300 该函数基于能够较好描述证据之间局部冲突情况的非重合度对Jousselme证据距离函数进行改进，使其冲突度量结果随非重合度取值及其取值范围的变化按适当比例进行变化； In the new function, Jousselme’s evidence distance function is improved by using the non-coincidence degree, which can better describe the local conflict of evidence, so that the conflict measure result of evidence varies proportionally with the value of the non-coincidence degree and the scope of its change.
20301 其次，基于冲突系数和新改进Jousselme证据距离函数共同构建改进的融合冲突度量函数。 Secondly, an improved fusion conflict measure function isconstructed based on the conflict coefficient and the new improved Jousselme’s evidential distance function.
20302 在此基础上，对焦元权系数计算式进行改进，并依此对局部多维冲突信息进行按比例分配。 Onthis basis, the weight coefficient formula of focal element is improved, and the local multi-dimensional conflicting information is assigned proportionately.
20303 理论及应用分析结果表明，新算法是一种适用性广泛且抗干扰性能好的证据融合算法。 Theoretical and application analysis results show that the new algorithm is a kind of evidence fusion algorithm with wide applicability and good anti-jamming performance.
20304 为提高MEMS陀螺仪测量精度，抑制测量噪声对其造成的影响，该文分析了某型号MEMS陀螺仪误差特性，提出基于递归最小二乘法(RLS)多重小波分解重构的强追踪自反馈模型，建立新的软阈值函数。 In order to improve the measurement accuracy of Micro Electro Mechanical Systems (MEMS) gyroscopes, the influence of measurement noise on them is suppressed. The error characteristics of a certain type of MEMS gyroscope are analyzed. A strong tracking self-feedback model based on Recursive Least Square(RLS) multiple wavelet decomposition reconstruction is proposed to establish a new soft threshold function.