Image super-resolution based on multi-space sparse representation

Sparse representation provides a new method of generating a super-resolution image from a single low resolution input image. An over-complete base for sparse representation is an essential part of such methods. However, discovering the over-complete base with efficient representation from a large amount of image patches is a difficult problem. In this paper, we propose a super-resolution construction based on multi-space sparse representation to efficiently solve the problem. In the representation, image patches are decomposed into a structure component and a texture component represented by the over-complete bases of their own spaces so that their high-level features can be captured by the bases. In the implementation, a prior knowledge about low resolution images generation is combined to the typical base construction for high construction quality. Experiment results demonstrate that the proposed method significantly improves the PSNR, SSIM and visual quality of reconstructed high-resolution image.     

Prediction-based realistic 3D model compression

The benefit of using the geometry image to represent an arbitrary 3D mesh is that the 3D mesh can be re-sampled as a completely regular structure and coded efficiently by common image compression methods. For geometry image-based 3D mesh compression, we need to code the normal-map images while coding geometry images to improve the subjective quality and realistic effects of the reconstructed model. In traditional methods, a geometry image and a normal-map image are coded independently. However a strong correlation exists between these two kinds of images, because both of them are generated from the same 3D mesh and share the same parameterization. In this paper we propose a predictive coding framework, in which the normal-map image is predicted based on the geometric correlation between them. Additionally we utilize the strong geometric correlation among three components of normal-map image to improve the predicting accuracy. The experimental results show the proposed coding framework improves the coding efficiency of normal-map image, meanwhile the realistic effect of a 3D mesh is significantly enhanced.     

准同型相界附近(Na1-xKx)0.5Bi0.5TiO3的制备及性能研究

利用固相法制备了（Na1-xKx）0.5Bi0.5TiO3系压电陶瓷，XRD分析表明所得陶瓷样品为纯的钙钛矿结构，其准同型相界在x=0．18～0．22之间；电子探针显微分析显示所做陶瓷样品晶粒发育良好，具有规则的外形和明显的晶界；实验所得陶瓷样品损耗tanδ最大不超过5％，最好的压电常数d33=153 pC／N，平面机电耦合系数kp=0．299，它们分别出现在x=0．22和0．20处。     

铁铵矾为催化剂对合成乙酸仲丁酯的影响研究

以铁铵矾为催化剂,对冰乙酸与仲丁醇之间的酯化反应进行了研究,考察了催化剂用量、酸醇摩尔比、反应时间对合成乙酸仲丁酯的影响,结果表明:铁铵矾有一定催化活性。当冰乙酸物质的量为0.12mol,冰乙酸、仲丁醇及铁铵矾的摩尔比为1∶2∶0.12,催化剂质量为7.0g,反应2.5h后,收率可达75.12%,所得产品无色透明。     

微生物发酵生产2,3-丁二酮的研究

2,3-丁二酮又称双乙酰,是一种黄色至浅绿色具有强烈奶油香味的重要香料。2,3-丁二酮传统上用合成法生产,我们以农副产品为主要原料,利用选育的高产菌株发酵生产,发酵工艺条件温和,产品风味自然、逼真、安全性高,视同天然产品,符合人们崇尚自然的趋势,可广泛用于食品、日化、饲料香精的生产。     

山苍子油在合成香料中的应用

简介近十几年来从山苍子油中柠檬醛出发合成的有关香料，并对有发展前景和应用前景的紫罗兰酮类、大马酮类和环高柠檬醛等香料的合成方法作一评述。     

磁性漆酚缩甲醛微球的制备与表征

在共沉淀法合成磁流体的基础上,用悬浮缩聚法制备了磁性漆酚缩甲醛微球,并用X射线粉末衍射、透射电镜和热重分析等对微球进行结构表征。实验结果表明,Fe3O4磁流体的粒径为纳米量级,纳米Fe3O4粒子能够提高复合物的热性能。该微球粒径约1mm,是核壳结构,具有良好的耐溶剂性和耐热性。     

新型尿素产品的开发

介绍了国内外新型尿素产品（大颗粒尿素、涂层尿素、包膜尿素、长效尿素）的生产工艺和产品特点。     

Particle size distribution,mixing behavior,and mechanical properties of carbon black (high‐abrasion furnace)–filled powdered styrene butadiene rubber

High‐abrasion furnace black (HAF, grade N330)–filled powdered styrene butadiene rubber [P(SBR/HAF)] was prepared and the particle size distribution, mixing behavior in a laboratory mixer, and mechanical properties of P(SBR/HAF) were studied. A carbon black–rubber latex coagulation method was developed for preparing carbon black–filled free‐flowing, noncontact staining SBR powders, with particle diameter less than 0.9 mm, under the following conditions: carbon black content > 40 phr, emulsifier/carbon black ratio > 0.02, and coating resin content > 2.5 phr. Over the experimental range, the mixing torque τ_α of P(SBR/HAF) was not as sensitive to carbon black content and mixing temperature as that of HAF‐filled bale SBR (SBR/HAF), whereas the temperature build‐up ΔT showed little dependency on carbon black content. Compared with SBR/HAF, P(SBR/HAF) showed a 20–30% mixing energy reduction with high carbon black content (>30 phr), which confers to powdered SBR good prospects for internal mixing. Carbon black and the rubber matrix formed a macroscopic homogenization in P(SBR/HAF), and the incorporation step is not obvious in the internal mixing processing results in these special mixing behaviors of P(SBR/HAF). A novel mixing model of carbon black–filled powdered rubber, during the mixing process in an internal mixer, was proposed based on the special mixing behaviors. P(SBR/HAF) vulcanizate showed better mechanical properties than those of SBR/HAF, dependent primarily on the absence of free carbon black and a fine dispersion of filler on the rubber matrix attributed to the proper preparation conditions of noncontact staining carbon black–filled powdered SBR. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 94: 2494–2508, 2004