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一种基于交互式的图像生成插值算法 被引量:1

An Interpolation Algorithm for Image Generation Based on Interactive Design
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摘要 在对隔行扫描、四叉树和Baptista算法分析的基础上,提出了一种基于交互式的图像生成插值算法。该算法首先对图像进行均匀取样,然后基于待插像素点的邻域像素值分布的几何特征,对像素点进行评估以决定像素点的值。经过上述4种算法的对比实验,结果表明,采用插值算法,仅由较少的数据量,即可生成较清晰的图像。 In this paper, based on the analysis of interlaced image, quadtree and Baptista algorithm, the authors presented an interpolation algorithm for interactive image generation: Firstly, sample evenly on image, then evaluate the pixel' s value according to the distribution geometry characteristics of pixel' s neighborhood. After the comparison among the four algorithms, the experimental results show that interpolation algorithm can generate high quality images with less data.
出处 《中国图象图形学报》 CSCD 北大核心 2005年第8期949-956,共8页 Journal of Image and Graphics
基金 国家自然科学基金项目(69974008) 辽宁省教育厅高等学校科学技术研究项目(20040081)
关键词 隔行扫描算法 四叉树算法 Baptista算法 插值算法 图像邻域 interlaced image algorithm, quadtree algorithm, Baptista algorithm, interpolation algorithm, Image neighborhood
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参考文献10

  • 1Hebert D J. Cyclic interlaced quadtree algorithms for quincunx multiresolution[J]. Journal of Algorithms, 1998, 27( 1 ) : 97 - 128.
  • 2Bijan G M. A generalized solution to the quadtree expected complexity problem[J]. Pattern Recognition Letters, 1995, 16(5) :443 - 456.
  • 3Chen Z, Chen I P. A simple recursive method for converting a chain code into a quadtree with a lookup table [J]. Image and Vision Computing, 2001, 19(7) : 413 -426.
  • 4Chung K L, Tseng S Y. New progressive image transmission based on quadtree and shading approach with resolution control [J]. Pattern Recognition Letters, 2001, 22(14) : 1545 - 1555.
  • 5Souza F J, Vellasco M M R, Pacheco M A C. Hierarchical neurofuzzy quadtree models [J]. Fuzzy Sets and Systems, 2002, 130 (2) :189 - 205.
  • 6Manouvrier M, Rukoz M, Jomier G. Quadtree representations for storage and manipulation of clusters of images[J]. Image and Vision Computing, 2002, 20 (7) : 513 - 527.
  • 7Chen P M. Variant code transformations for linear quadtrees [J].Pattern Recognition Letters, 2002, 23( 11 ) : 1253 - 1262.
  • 8Golchin F, Paliwal K K. Quadtree-based classification in subband image coding [J]. Digital Signal Processing, 2003, 13 ( 4 ) :656 - 668.
  • 9Baptista H R. A method for incremental image generation [J].Computers & Graphics, 1999, 23(3) : 449 -454.
  • 10Chang H K C, Tso C K. A breadth-first quadtree coding scheme for multicolored spatial data [J]. Computers & Geosciences, 1996,22(2) : 139 - 148.

同被引文献8

  • 1谢美华,王正明.基于图像梯度信息的插值方法[J].中国图象图形学报,2005,10(7):856-861. 被引量:15
  • 2Herbert D J.Cyclic Interlaced Quadtree Algorithm for Quincunx Multiresolution[J].Journal of Algrithms,1998,27(1):97-128.
  • 3Golchin F,Paliwal K K.Quadtree-based Classfication in Subband Image Coding[J].Digital Signal Processing,2003,13(4):656-668.
  • 4Baptista H R.A Method for Incremental Image Generation[J].Computers & Graphics,1999,23(3):449-454.
  • 5Xin L,Michael T,Orchard.New Edge-directed Interpolation[J].IEEE Transactions on Image Processing,2001,10(10):1521-1527.
  • 6Candocia F M.A Unified Superresolution Approach for Optical and Synthetic Aperture Radar Images[D].Gainesville:University Florida,1998.
  • 7Liu L X,Xie J Y,Wang M Z.Discrete-time Reconstruction of Non-uniformly Sampled Signal[J].Chinese Journal of Electronics,2002,11(2):196-199.
  • 8Gao J,Gunn S,Harris C,et al.A Probabilistic Framwork for SVM Regression and Error Bar Estimation[J].Machine Learning,2001,12(4):1326-1333.

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