基于感知的视频编码方法综述

基于感知的视频编码方法是目前视频编码的研究热点。该文综合论述了基于感知的视频编码方法,重点阐述了基于感知的3维视频编码方法。首先,对目前利用人类视觉系统中的亮度、对比敏感度、中心凹等视觉感知特性的单视点视频编码方法进行分析并指出其存在的问题。然后,对基于立体感兴趣区域和双目敏感度特性的3维视频感知编码方法进行了分析和论述。最后,就基于感知的视频编码方法的进一步发展提出了若干技术与研究方向的展望。     

电工电子实验教学改革

本文以基于Multisim的电工电子网上虚拟实验室为例,分别阐述了虚拟实验室的优缺点,提出虚拟实验室不仅不能取代传统实验室,相反还要加强传统实验室的建设。对虚拟实验室要做到合理利用,虚实结合,更好地为实验教学和应用型人才培养服务。     

贴片电容器失效分析

采用外观检查、金相切片、SEM和EDS分析等手段,通过对贴片电容器失效实例的分析,介绍了对贴片电容器失效的分析过程与方法,得出了内部电极间的陶瓷介质裂纹存在并联电阻特性,这是导致电容器产生漏电失效的主要原因,该裂纹属制造缺陷。失效分析对贴片电容器制造工艺有质量控制作用。     

颜色视觉匹配中显示器颜色色差阈值的评价

为了对阴极射线管(Cathode ray tube,CRT)显示器颜色恰可辨别的小色差阈值进行评价,在中性灰背景下,用编制的颜色匹配程序,在CRT显示器上随机产生颜色,分别调节程序中R、G、B通道的值,使匹配色与随机色达到视觉上的一致,进行颜色视觉匹配实验,测量CRT显示器上随机色和匹配色的L*a*b*值.用不同的色差公式对实验数据分别从明度、色调、饱和度进行比较分析,色差公式评价小色差的性能是CIEDE2000优于CMC(2∶1)和CIEL*a*b*.在a*b*图上绘制实验颜色恰可辨别图.不同色差公式计算的CRT显示器恰可辨别小色差阈值不同.     

一种基于二维DCT变换的图像信息隐藏方法

提出了一种基于二维DCT变换的图像信息隐藏方法,经过二维DCT变换后的图像能量集中在低频部分,考虑到人眼的视觉特性,图像的高频部分可视为视觉冗余部分,可以把有用信息隐藏在变换载体图像的高频部分,即以牺牲图像高频信息来达到信息隐藏的效果,通过MATLAB实现这一思想,对隐藏后的图像质量做了特征分析,并对下一步实验做出了设想.     

基于双阈值视觉注意模型的图像关注焦点检测

图像关注焦点（FOA）检测是基于人眼视觉关注模型的图像感兴趣区提取的关键技术。为了更加精确、合理地搜索图像关注焦点,提出一种基于双阈值视觉关注模型的FOA检测算法。算法首先提取图像的亮度、颜色、方向和离散矩变换（DMT）特征,生成各个特征对应的特征图;然后将各特征图合并为一张包含多种特征的显著图;最后根据显著图的灰度直方图建立静态阈值与动态阈值,确定图像关注焦点的位置与数量。实验结果表明：新算法在图像关注焦点检测的准确性上较Itti模型有更为优秀的表现,更符合人眼视觉的关注习惯。     

A weighted full-reference image quality assessment based on visual saliency

In full reference image quality assessment (IQA), the images without distortion are usually employed as reference, while the structures in both reference images and distorted images are ignored and all pixels are equally treated. In addition, the role of human visual system (HVS) is not taken account into subjective IQA metric. In this paper, a weighted full-reference image quality metric is proposed, where a weight imposed on each pixel indicates its importance in IQA. Furthermore, the weights can be estimated via visual saliency computation, which can approximate the subjective IQA via exploiting the HVS. In the experiments, the proposed metric is compared with several objective IQA metrics on LIVE release 2 and TID 2008 database. The results demonstrate that SROCC and PLCC of the proposed metric are 0.9647 and 0.9721, respectively,which are higher than other methods and it only takes 427.5 s, which is lower than that of most other methods.     

[2]Pseudorotaxane-Based Supramolecular Optical Indicator for the Visual Detection of Cellular Cyanide Excretion

Cyanide is extremely hazardous to living organisms and the environment. Owing to its wide range of applications and high toxicity, the development of functional materials for cyanide detection and sensing is highly desirable. Host–guest complexation between bis(p-phenylene)-34-crown-10 H and N-methylacridinium salt G remarkably decreases the detection limit for cyanide anions compared with that of the guest itself. The [2]pseudorotaxane selectively recognizes the cyanide anion with high optical sensitivity as a result of the nucleophilic addition of the cyanide anion at the 9-position of G . The host–guest complexation is further incorporated into supramolecular materials for the visual detection of cyanide anions, especially the detection of cellular cyanide excretion with a detection limit of 0.6 μm . This supramolecular method provides an extremely distinct strategy for the visual detection of cyanide anions.     

A human visual system-driven image segmentation algorithm

This paper presents a novel image segmentation algorithm driven by human visual system (HVS) properties. Segmentation quality metrics, based on perceptual properties of HVS with respect to segmentation, are integrated into an energy function. The energy function encodes the HVS properties from both region-based and boundary-based perspectives, where the just-noticeable difference (JND) model is employed when calculating the difference between the image contents. Extensive experiments are carried out to compare the performances of three variations of the presented algorithm and several representative segmentation and clustering algorithms available in the literature. The results show superior performance of our approach.