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New spatial measure for dispersed-dot halftoning assuring good point distribution in any density [0.03%] 一种新的空间度量方法 用于分散式加网以保证任何浓度下的优良点分布
Kanya Ishizaka Kanya Ishizaka
As a core component of dispersed-dot halftoning, this paper focuses on the definition of new measures for giving or measuring good point distributions in a plane. By defining good point distributions from a purely geometric viewpoint of cir...
An edge-weighted centroidal Voronoi tessellation model for image segmentation [0.03%] 基于边缘加权图论的图像分割方法
Jie Wang,Lili Ju,Xiaoqiang Wang Jie Wang
Centroidal Voronoi tessellations (CVTs) are special Voronoi tessellations whose generators are also the centers of mass (centroids) of the Voronoi regions with respect to a given density function and CVT-based methodologies have been proven...
Jing-Ming Guo,Yun-Fu Liu Jing-Ming Guo
Dot diffusion is an efficient approach which utilizes concepts of block-wise and parallel-oriented processing to generate halftones. However, the block-wise nature of processing reduces image quality much more significantly as compared to e...
Hierarchical ensemble of global and local classifiers for face recognition [0.03%] 一种基于全局和局部分类器的分层集成的人脸识别方法
Yu Su,Shiguang Shan,Xilin Chen et al. Yu Su et al.
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper proposes a novel face recognition method which exploits both...
Color filter array demosaicking using high-order interpolation techniques with a weighted median filter for sharp color edge preservation [0.03%] 使用加权中值滤波的高阶插值技术进行颜色滤波器阵列解封装以保留锐利的颜色边缘
Jim S Jimmy Li,Sharmil Randhawa Jim S Jimmy Li
Demosaicking is an estimation process to determine missing color values when a single-sensor digital camera is used for color image capture. In this paper, we propose a number of new methods based on the application of Taylor series and cub...
Guangzhi Cao,Charles A Bouman,Kevin J Webb Guangzhi Cao
We present a method for noniterative maximum a posteriori (MAP) tomographic reconstruction which is based on the use of sparse matrix representations. Our approach is to precompute and store the inverse matrix required for MAP reconstructio...
Mrityunjay Kumar,Sarat Dass Mrityunjay Kumar
In this paper, a total variation (TV) based approach is proposed for pixel-level fusion to fuse images acquired using multiple sensors. In this approach, fusion is posed as an inverse problem and a locally affine model is used as the forwar...
Attraction-repulsion expectation-maximization algorithm for image reconstruction and sensor field estimation [0.03%] 吸引力-排斥力期望最大化算法及其应用
Hunsop Hong,Dan Schonfeld Hunsop Hong
In this paper, we propose an attraction-repulsion expectation-maximization (AREM) algorithm for image reconstruction and sensor field estimation. We rely on a new method for density estimation to address the problems of image reconstruction...
Warren Cheung,Ghassan Hamarneh Warren Cheung
We propose the n-dimensional scale invariant feature transform (n-SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method's performance to other related features. The...
Intelligent acquisition and learning of fluorescence microscope data models [0.03%] 智能获取和学习荧光显微镜数据模型
Charles Jackson,Robert F Murphy,Jelena Kovacević Charles Jackson
We propose a mathematical framework and algorithms both to build accurate models of fluorescence microscope time series, as well as to design intelligent acquisition systems based on these models. Model building allows the information conta...