期刊文献+

基于误差修正的自适应边缘保持图像插值 被引量:2

Adaptive Edge-Preserving Image Interpolation Based on Error Correction
下载PDF
导出
摘要 传统插值算法容易产生细节模糊和边缘锯齿效应,而边缘是图像的重要信息,直接影响插值图像的视觉效果。为了解决这一问题,提出了一种新的基于误差修正的自适应边缘保持插值算法。首先将原图像向插值图像进行映射,再定义一个3×3的滑动窗口,用水平和垂直两个模板确定边缘类型,根据边缘类型进行插值,最后对仍未定义像素点用插值误差定理进行处理,总体上对所有像素都进行了分情况插值处理。实验结果表明,本算法有效地保持了图像的边缘信息,能够获得视觉质量较好的插值图像,且算法比较简单,容易实现。 Conventional interpolation algorithms suffer visually the effects of blurred details and jagged artifacts in image to some extent.Edges are important to an image and have direct effect on interpolation images.To solve these problems,a new algorithm for image interpolation based on error correction was proposed.Firstly,map the original image to the interpolation image.Then define a 3×3 sliding window and decide the type of edges using a horizontal and a vertical edge masks,interpolate the image according to the types of edges.Finally,evaluate the undefined pixels using interpolation error theorem.Experimental results show that the proposed method effectively maintains the edge information and can obtain better visual quality of interpolated images.The algorithm is simple and easy to implement.
出处 《计算机技术与发展》 2011年第2期116-119,共4页 Computer Technology and Development
关键词 图像插值 边缘 误差修正 image interpolation edge error correction
  • 相关文献

参考文献13

二级参考文献43

  • 1Xin Li, Michael T Orchard. New Edge-directed Interpolation [J]. IEEE Trans Image Processing, 2001,10(10): 1521-1527.
  • 2K P Hong. An Edge-preserving Image Interpolation System for a Digital Camcorder [J]. IEEE Trans Consumer Electron, 1996,42(3): 279-284.
  • 3[1]W.K. Pratt. Digital Image Processing, Wiley,1978.
  • 4[2]P. Thevenaz, T. Blu, M. Unser. Interpolation revisited.IEEE Trans. on Med. Imag. , 2000,7(19):739~758.
  • 5[3]F.G.B. De Natale, G. S. Desoli, D. D. Giusto. Adaptive least-squares bilinear interpolation (ALSBI);A new approach to image-data compression. IEEE Electronics Letters, 1993,9 (29) : 1638~ 1640.
  • 6[4]Hsieh Hou, Andrews H. Cubic splines for image interpolation and digital filtering. IEEE Trans. On Signal Processing, 1978,1 1 (6) : 508 ~ 517.
  • 7[5]R.G. Keys. Cubic convolution interpolation for digital image processing. IEEE Trans. on Signal Processing,1981,11(6) :1153~1160.
  • 8[6]Hao Jiang, Moloney C.. A new direction adaptive scheme for image interpolation. IEEE Trans. on Image Processing, 2002,6 (3): 369 ~ 372.
  • 9[7]P. Perona. Orientation diffusions. IEEE Trans. on Image Processing, 1998,3 (7) : 457~ 467.
  • 10[8]Dong Wook Kang. Two-channel spatial interpolation of images. Elsevier Signal Processing Image Communication, 2000, (16) :395~399.

共引文献61

同被引文献19

  • 1江巨浪.基于改进Catmull-Rom样条的图像缩放算法[J].计算机技术与发展,2007,17(4):211-213. 被引量:12
  • 2林嫒.图像缩放算法研究及其FPGA实现[D].厦门:厦门大学,2006.
  • 3Singh M, Patel P, Khosla D, et al. Segmentation of Functional MRI by K-means Clustering [ J]. IEEE Transactions on Nuclear Science, 1996,43 (6) :2030-2036.
  • 4Ahmed M N. A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data [ J ]. IEEE Transactions on Medical Imaging,2002,21 (3) : 193-199.
  • 5Lehmann T M, Gonner C, Spitzer K. Survey: Interpolation Methods in Medical Image Processing [ J ]. IEEE Trans on Med Imag, 1999,18 ( 11 ) : 1049-1075.
  • 6Li X, Orchard M T. New Edge Directed Interpolation [J]. IEEE Transaction on Image Process, 2001,10 ( 10 ) : 1524 - 1527.
  • 7Dube S, Hong L. An Adaptive Algorithm for Image Resolution Enhancement [ C ]//34 Asilomar Conference on Signals, Systems and Computers. [s. l. ] :[s. n. ] ,2000:1731-1734.
  • 8Takeda H, Farsiu S, Milanfar P. Kernel regression for image processing and reconstruction [ J ]. IEEE Transactions on Image Processing, 2007,16 ( 2 ) : 349 - 366.
  • 9Tang Xinyun, Zhang Zili, Zhou Bangbing. Effect of lanthanum on quantity of major microorganism groups in yellow cinnamon soil [J]. J. Rare Earth, 1998, 16(3): 193.
  • 10Xu X K, Wang Z J. Effect of lanthanum and rare earth element mixture of ammonium oxidation and N-mineralization in soil [J]. Eur. J. Soil. Sci., 2001, 52: 323.

引证文献2

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部