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Patch-based image vectorization with automatic curvilinear, Automatic and topology-preserving gradient mesh generation for image vetorization, Diffusion curves: a vector representation for smooth-shaded images.
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sparse representation algorithm
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Matching Pursuit方法，经典的稀疏表示方法，可以用人脸识别和图像分类，图像去噪，现在非常流行。-Matching Pursuit method, sparse representation of the classic, you can use face recognition and image classification, image denoising, now very popular.
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流媒体 多视点视频编码 会议论文 清华大学课程指定阅读文献 英文-A Framework for Representation and Processing of Multi-view Video Using the Concept of Layered Depth Image.pdf
Fast Disparity and Motion Estimation for Multi-view Video Coding.pdf
Low-Delay Multiview Video Coding
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Abstract—We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are localized in spatial fr
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Contourlet 小波的最经典文献,值得一看
The Contourlet Transform: An Efficient Directional Multiresolution Image Representation-The Contourlet Transform: An Efficient Directional Multiresolution Image Representation
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Segmentation (image processing)
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In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels) (Also known as supe
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在本文中，提出了一个新的图像特征表示--grouplet。grouplet可以捕获图像的结构化信息，通过编码大量的辨别的视觉特征和空间配置。-In this paper,we propose a new image feature representation called “grouplet”. The grouplet captures the structured information of an image by encoding a number of discriminative
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Cost effective digital cameras use a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. The problem of reconstructing a full three-color representation of color images by estimating the mi
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This paper is concerned with the derivation of a progression
of shadow-free image representations. First we show that
adopting certain assumptions about lights and cameras leads to a
1-d, grey-scale image representation which is illuminant inva
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流程图可以简单地描述一个过程，是对过程、算法、流程的一种图像表示，在技术设计、交流及商业简报等领域有广泛的应用。流程图可分为：数据流程图和作业流程图。
流程图较思维导图要严谨一些，也是思维导图一种表现，使用图形表示算法的思路是一种极好的方法，因为千言万语不如一张图。流程图由包含具有确定含义的符号、简单的说明性文字和各种连线。
流程图是流经一个系统的信息流、观点流或部件流的图形代表。在企业中，流程图主要用来说明某一过程。这种过程既可以是生产线上的工艺流程
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全部以图片形式呈现出来，让用户能够直观的进行选择，实现了用户的可视化表达-All presented in picture form, allowing the user to choose an intuitive achieve a visual representation of the user
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In recent years, the development and demand of multimedia product grows increasingly fast, contributing to insufficient bandwidth of network and storage of memory device. Therefore, the theory of data compression becomes more and more significant for
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完备图像稀疏表示是一种最新的图像表示模型，采用过完备字典中原子的线性组合形式实现图像的稀疏表示．传统
的过完备图像稀疏表示模型采用重建误差的平方和作为保真项．该保真项没有充分考虑到人眼对图像的感知特性，无法度量图
像中边缘、轮廓、纹理等局部几何结构的变化．本文基于过完备稀疏表示理论思想，建立了新的稀疏性正则化的图像稀疏表示模
型．模型中的正则项约束图像表示系数的稀疏性，保真项采用更符合视觉感知的结构相似性度量．基于正交匹配追踪算法，提出
了基于结构相似度的正交匹配追踪算法．实验结
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前基于图像块稀疏表示的超分辨率重构算法对所有图像块都用同一字典表示，不能反映不同类型图
像块问的筹别．针对这一缺点，本文提出基于图像块分类稀疏表示的方法．该方法先利用图像局部特征将图像块分为
平滑、边缘和不规则结构三种类型，其中边缘块细分为多个方向．然后利用稀疏表示方法对边缘和不规则结构块分别
训练各自对应的低分辨率和-岛分辨率字典．重构时对平滑块利用简单双三次插值方法，边缘和不规则结构块由其对应
的高、低分辨率字典通过正交匹配追踪箅法重构．实验结果表明，与单字典稀疏表示算法相比
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图像重建也是图像处理中的热点研究，一篇英文文献对于脊波变换的图像重构算法。-Image reconstruction is a hot research in image processing, an English literature ridgelet transform for image reconstruction algorithm.
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We review recent advances in image retri . The two fundamental
components of a retri system, representation and learning,
are analyzed. Each component is decomposed into its constituent
building blocks: features, feature representation, and sim
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This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
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In this paper, we propose a practical method for hardware-
accelerated rendering of the depth image-based representation (DIBR) object,
which is defined in MPEG-4 Animation Framework eXtension (AFX). The
proposed method overcomes the drawbacks
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