红外模糊图像的无参考质量评价方法

图像质量评价是对图像处理算法的优劣给出合理的评估,在很多无法获取原始参考图像的应用场合中使用无参考质量评价方法。通过对红外图像结构分析得知图像所具有的不确定性往往是模糊性,而不是随机性,因此将模糊集理论中模糊熵的概念引入到红外图像质量评价中,提出一种针对红外模糊图像的无参考质量评价方法,并从算法的有效性、一致性和准确性三个方面进行比较分析。仿真实验结果表明,该方法具有计算复杂度低、运算速度快和主客观评价一致等特点,且在总体性能上优于均方误差(MSE)和峰值信噪比(PSNR)全参考图像质量评价方法。     

模糊失真图像无参考质量评价综述EI北大核心CSCD

图像的模糊问题影响人们对信息的感知、获取及图像的后续处理.无参考模糊图像质量评价是该问题的主要研究方向之一.本文分析了近20年来无参考模糊图像质量评价相关技术的发展.首先,本文结合主要数据集对图像模糊失真进行分类说明;其次,对主要的无参考模糊图像质量评价方法进行分类介绍与详细分析;随后,介绍了用来比较无参考模糊图像质量评价方法性能优劣的主要评价指标;接着,选择典型数据集及评价指标,并采用常见的无参考模糊图像质量评价方法进行性能比较;最后,对无参考模糊图像质量评价的相关技术及发展趋势进行总结与展望.     

一种针对图像模糊的无参考质量评价指标

在成像模型的基础上,分析了图像模糊的原因,提出了一种为图像构造参考图像的方法,进而将结构相似度(SSIM)评价方法引入到无参考图像质量评价中,提出一种无参考结构清晰度(NRSS)的新的无参考图像质量评价方法,将其用于对模糊图像的质量评价。该方法通过低通滤波器来构造参考图像,通过计算原始图像与参考图像的结构相似度值来评价原始图像质量,很好地结合了成像系统的数学模型和结构相似度评价方法的优势,实验结果表明无参考结构清晰度评价指标能够给出和主观评价方法以及其余有参考评价方法一致的结果。     

基于深度学习的无参考图像质量评价综述

图像质量评价是图像处理、图像/视频编码等领域的基础性问题,用于评估图像的失真程度,被广泛应用于算法设计与分析、系统性能评估等方面.无参考图像质量评价(又称为盲图像质量评价)是一种重要的客观质量评价方法.因为无须原始的参考图像,因此具有广泛的应用前景.近年来,随着深度学习技术的不断发展,人们提出了多种基于深度学习的无参考...     

运动模糊图像的质量分析与评价

提出了一种新的图像质量评价标准,通过图像的运动模糊参数来估计出图像由于运动而造成的信息损失量,并通过信息损失的多少来评价图像的质量。实验表明,该方法能客观地体现出运动模糊图像的质量与运动模糊参数之间的关系,这种关系对于图像的质量评价特别是有参考条件下的图像质量评价具有良好的效果。同时还根据活动度和图像灰度梯度能客观地表示图像细节部分的特性。将图像分块,并从8个方向对图像进行分析,客观地评价出无参考条件下直线运动模糊图像的质量。     

基于边缘相似度的全参考图像质量评价算法

客观图像质量评价(IQA)方法旨在利用计算模型自动实现与主观感知一致的图像质量评估,是当前计算机视觉领域和图像处理领域的研究热点.由于图像的边缘信息对理解图像语义信息至关重要,提出一种基于边缘信息的图像质量客观评价方法.通过比较参考图像和失真图像的多方向边缘强度、边缘强度对比度及亮度信息等特征的相似性,实现图像质量的客观评价.利用国外的LIVE2、TID2008及CSIQ等多个图形数据库计算结果证明,本算法能实现对多种失真类型的图像的质量预测,并且在预测准确性、鲁棒性和主观评价一致性方面与当前大多数方法相比都有明显优势.     

结合图像二次模糊范围和奇异值分解的无参考模糊图像质量评价

针对图像的模糊失真问题,提出一种结合图像二次模糊范围和奇异值分解的无参考图像质量评价方法.首先根据图像二次模糊范围的差异性构建参考图像;然后对失真图像与参考图像进行奇异值分解,利用奇异值向量矩阵的相似度构建失真特性向量;再结合Log-Gabor滤波器组和高斯差分模型进行视觉显著度检测;最终以显著度加权的失真特性向量预测模糊图像的质量得分.大量实验结果表明,与同类算法相比,文中方法能够准确地评价模糊图像质量,与主观评价具有较高的一致性;在LIVE2图像库上,评价指标斯皮尔曼等级相关系数达到0.968 7,均方根误差为4.858 9;该方法无需对数据进行训练,具有较强的实用性和推广性.     

结合HVS及SSIM的无参考模糊图像评价方法

针对传统无参考模糊图像质量评价算法未考虑人类视觉系统在模糊检测时的有限性这一缺点,提出了一种结合人类视觉特性及结构相似度的无参考图像质量评价方法。该方法向原始输入图像增加低通滤波器生成重新模糊图像;之后创建一个以原始输入图像的边界点为中心的强边界像素块集合;分别计算集合中像素块与对应的重新模糊图像中像素块间的结构相似度指数;所得的全部结构相似度指数的均值作为最终的原始输入图像的模糊值。基于LIVE模糊图像数据库的实验结果表明,该方法有较好的性能,其计算结果与主观统计值的线性相关系数及斯皮尔曼等级相关系数分别为0.9298及0.9318。     

基于再模糊理论的航拍图像质量检测方法

无人机在进行航拍任务时,会因为机身抖动、地物环境等原因导致采集的图像模糊,对后续提取图像信息造成影响。针对这一问题,提出了一种基于再模糊理论的无参考图像质量检测方法,用来区分清晰和模糊图像。对原始图像进行缩放、灰度化等预处理后附加一定程度的高斯模糊,得到再模糊图像,再分别对两张图像使用拉普拉斯算子提取边缘,得到两张图像的边缘差异图像。通过计算所得的边缘差异图像的标准差与经验得出的划分清晰和模糊图像的阈值相比,判断该图像是否为模糊图像。对人工合成的模糊图像和无人机实拍图像进行实验。实验结果表明,该算法具有较高的模糊图像检测率,表现优于其他图像质量检测方法,且单张图片的检测计算速度很快。     

模拟视觉感知系统的无参考模糊图像质量评价

为了获得与人类视觉感知一致的图像质量评价方法, 本文提出一种模拟视觉感知系统的无参考模糊图像质量评价方法. 该方法通过比较不同模糊程度的图像特征的相似度来度量图像质量. 首先, 通过对待测图像进行人工模糊, 获得不同模糊程度的图像. 然后, 通过视网膜模型提取图像的细节信息. 接着, 采用奇异值分解用来获得图像的内部结构信息. 之后, 将待测图像与其它不同模糊度图像之间的细节相似度和奇异值相似度作为度量图像模糊度的特征向量. 最后, 将这些度量特征向量输入支持向量回归模型(SVR)进行训练, 获得最终的图像质量评估模型.在常用数据库上的实验结果表明, 该方法与人眼主观视觉感知的一致性优于比较方法.     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.