Computer Science ›› 2015, Vol. 42 ›› Issue (3): 271-273.doi: 10.11896/j.issn.1002-137X.2015.03.056

Previous Articles     Next Articles

Novel Image Zooming Method Based on Sparse Decomposition

LI Qiu-ju, ZHU Xuan, ZHANG Xu-feng and WANG Ning   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Two new dictionaries,RDWT and WAT,were proposed in this paper,and we used them to sparsely decompose one image into cartoon component and texture component.Based on the fact that the cartoon and texture in one ima-ge have different morphological characteristics,we zoomed the cartoon by self-snake model with the characteristics of curvature motion,edge shock and smooth denoising,and zoomed the texture by bicubic interpolation.Through superpo-sing the zoomed cartoon and texture,the zoomed image will be obtained.The experiment results show,compared with the traditional zooming methods processing the whole image,the new zooming model based on morphological component decomposition has good performance for enhancing edge,protecting small curvature and large gradient,and ensuring the texture clear and completion.

Key words: Image zooming,Sparse representation,RDWT,WAT,Self-snake model

[1] 程光权,成礼智.基于小波的方向自适应图像插值[J].电子与信息学报,2009,2:265-269
[2] 祝轩,张申华,王蕾,等.基于self-snake模型的图像放大[J].西北大学学报:自然科学版,2010,0(1):73-75
[3] Starck J L,Elad M,Donoho D L.Redundant multiscale transforms and their application for morphological component separation[J].Advances in Imaging and Electron Physics,2004,132(35):287-348
[4] Meyer Y.Oscillating patterns in image processing and nonlinear evolution equations [M].Boston:American Mathematical Society,2002
[5] Chan T F,Shen J H.Mathematical models for local non-texture inpainting[J].SIAM J.Appl.Math,2001,62(6):1019-1043
[6] Zhu Xuan,Wang Ning,En-biao,et al.Image decomposition modelcombined with sparse representation and total variation[C]∥Proceeding of the IEEE International Conference on Information and Automation.Yinchuan,China,2013:86-91
[7] 李德强,吴永国,罗海波.基于冗余离散小波变换的信号配准及分类[J].自动化学报,2011,37(1):61-66
[8] 刘国军,冯象初,张选德.波原子纹理图像阈值算法[J].电子与信息学报,2009,(8):1791-1795
[9] Mallat S G,Jaggi S,Karl W,et al.High resolution pursuit forfeature extraction[J].Applied and Computational Harmonic Analysis,1998,5(7):428-449
[10] Osher S,Burger M,Goldfarb D,et al.An iterated regularization method for total variation-based image restoration[J].SIAM Journal on Multiscale Modeling and Simulation,2005,4(5):460-489
[11] Daubechies I,Defrise M,Mol C D.An iterative thresholding algorithm for linear inverse problems with a sparsity constraint[J].Commun.Pure Appl.Math.,2004,57(11):1413-1457
[12] Stack J L,Elad M,Donoho D L.Image decomposition via thecombination of Sparse representation and a variational approach[J].IEEE Transaction on Image Proeessing,2005,4(10):1570-158

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!